Publicaciones
2015 |
J. Flores, J.M. Montagna, A.R. Vecchietti Investment planning in energy considering economic and environmental objectives (Artículo de revista) Computers and Chemical Engineering, 72 , pp. 222-232, 2015, (cited By 0). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Flores2015222, title = {Investment planning in energy considering economic and environmental objectives}, author = { J. Flores and J.M. Montagna and A.R. Vecchietti}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84908456566&partnerID=40&md5=141e6432aee5d521fae3e597cf16677a}, doi = {10.1016/j.compchemeng.2014.05.006}, year = {2015}, date = {2015-01-01}, journal = {Computers and Chemical Engineering}, volume = {72}, pages = {222-232}, abstract = {This work proposes a linear disjunctive multiperiod optimization model for planning investments in energy sources considering two objectives, one economical (maximization of the net present value), and the other environmental (minimization of greenhouse gas emissions - GHG). The general goal of this approach is to provide an analysis tool for energy decision makers in planning investment considering different scenarios in GHG emanation. The decision variables of the model are the investment needs in money, capacity and time in order to satisfy 100% of the energy market for Argentina in the period 2010-2030. Two models are proposed, the first one considers the total amount of GHG released in the horizon time; and the other contemplates the amount of GHG year by year. Twenty scenarios are evaluated with both models. The results obtained are presented, which show the trade-offs between both objectives. © 2014 Elsevier Ltd.}, note = {cited By 0}, keywords = {}, pubstate = {published}, tppubtype = {article} } This work proposes a linear disjunctive multiperiod optimization model for planning investments in energy sources considering two objectives, one economical (maximization of the net present value), and the other environmental (minimization of greenhouse gas emissions - GHG). The general goal of this approach is to provide an analysis tool for energy decision makers in planning investment considering different scenarios in GHG emanation. The decision variables of the model are the investment needs in money, capacity and time in order to satisfy 100% of the energy market for Argentina in the period 2010-2030. Two models are proposed, the first one considers the total amount of GHG released in the horizon time; and the other contemplates the amount of GHG year by year. Twenty scenarios are evaluated with both models. The results obtained are presented, which show the trade-offs between both objectives. © 2014 Elsevier Ltd. |
2014 |
G. Corsano, Y. Fumero, J.M. Montagna Integrated decision making for the optimal bioethanol supply chain (Artículo de revista) Energy Conversion and Management, 88 , pp. 1127-1142, 2014, (cited By 1). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano20141127, title = {Integrated decision making for the optimal bioethanol supply chain}, author = { G. Corsano and Y. Fumero and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84910075619&partnerID=40&md5=a5383bb22a6af0c72e834b71edc339db}, doi = {10.1016/j.enconman.2014.04.090}, year = {2014}, date = {2014-01-01}, journal = {Energy Conversion and Management}, volume = {88}, pages = {1127-1142}, abstract = {Bioethanol production poses different challenges that require an integrated approach. Usually previous works have focused on specific perspectives of the global problem. On the contrary, bioethanol, in particular, and biofuels, in general, requires an integrated decision making framework that takes into account the needs and concerns of the different members involved in its supply chain. In this work, a Mixed Integer Linear Programming (MILP) model for the optimal allocation, design and production planning of integrated ethanol/yeast plants is considered. The proposed formulation addresses the relations between different aspects of the bioethanol supply chain and provides an efficient tool to assess the global operation of the supply chain taking into account different points of view. The model proposed in this work simultaneously determines the structure of a three-echelon supply chain (raw material sites, production facilities and customer zones), the design of each installed plant and operational considerations through production campaigns. Yeast production is considered in order to reduce the negative environmental impact caused by bioethanol residues. Several cases are presented in order to assess the approach capabilities and to evaluate the tradeoffs among all the decisions. © 2014 Elsevier Ltd. All rights reserved.}, note = {cited By 1}, keywords = {}, pubstate = {published}, tppubtype = {article} } Bioethanol production poses different challenges that require an integrated approach. Usually previous works have focused on specific perspectives of the global problem. On the contrary, bioethanol, in particular, and biofuels, in general, requires an integrated decision making framework that takes into account the needs and concerns of the different members involved in its supply chain. In this work, a Mixed Integer Linear Programming (MILP) model for the optimal allocation, design and production planning of integrated ethanol/yeast plants is considered. The proposed formulation addresses the relations between different aspects of the bioethanol supply chain and provides an efficient tool to assess the global operation of the supply chain taking into account different points of view. The model proposed in this work simultaneously determines the structure of a three-echelon supply chain (raw material sites, production facilities and customer zones), the design of each installed plant and operational considerations through production campaigns. Yeast production is considered in order to reduce the negative environmental impact caused by bioethanol residues. Several cases are presented in order to assess the approach capabilities and to evaluate the tradeoffs among all the decisions. © 2014 Elsevier Ltd. All rights reserved. |
G. Corsano, G. Guillén-Gosálbez, J.M. Montagna Computational methods for the simultaneous strategic planning of supply chains and batch chemical manufacturing sites (Artículo de revista) Computers and Chemical Engineering, 60 , pp. 154-171, 2014, (cited By 3). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano2014154, title = {Computational methods for the simultaneous strategic planning of supply chains and batch chemical manufacturing sites}, author = { G. Corsano and G. Guillén-Gosálbez and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84884955295&partnerID=40&md5=71fa0a4d3ac9939c25e86047fe8eaaea}, doi = {10.1016/j.compchemeng.2013.09.001}, year = {2014}, date = {2014-01-01}, journal = {Computers and Chemical Engineering}, volume = {60}, pages = {154-171}, abstract = {In this work we present efficient solution strategies for the task of designing supply chains with the explicit consideration of the detailed plant performance of the embedded facilities. Taking as a basis a mixed-integer linear programming (MILP) model introduced in a previous work, we propose three solution strategies that exploit the underlying mathematical structure: A bi-level algorithm, a Lagrangean decomposition method, and a hybrid approach that combines features from both of these two methods. Numerical results show that the bi-level method outperforms the others, leading to significant CPU savings when compared to the full space MILP. © 2013.}, note = {cited By 3}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this work we present efficient solution strategies for the task of designing supply chains with the explicit consideration of the detailed plant performance of the embedded facilities. Taking as a basis a mixed-integer linear programming (MILP) model introduced in a previous work, we propose three solution strategies that exploit the underlying mathematical structure: A bi-level algorithm, a Lagrangean decomposition method, and a hybrid approach that combines features from both of these two methods. Numerical results show that the bi-level method outperforms the others, leading to significant CPU savings when compared to the full space MILP. © 2013. |
J. Flores, J.M. Montagna, A.R. Vecchietti An optimization approach for long term investments planning in energy (Artículo de revista) Applied Energy, 122 , pp. 162-178, 2014, (cited By 4). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Flores2014162, title = {An optimization approach for long term investments planning in energy}, author = { J. Flores and J.M. Montagna and A.R. Vecchietti}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84896885134&partnerID=40&md5=9e04f60082296cc2c19de9c1757ba299}, doi = {10.1016/j.apenergy.2014.02.002}, year = {2014}, date = {2014-01-01}, journal = {Applied Energy}, volume = {122}, pages = {162-178}, abstract = {This paper presents a mathematical programming model for planning investment in energy sources. The problem formulation considers the use of renewable and not renewable sources and demands, revenues, operation, start-up, and amortization costs of new energy facilities and the amount of reserves of fossil fuels. The objective is the maximization of the Net Present Value (NPV) in the time horizon. The results provide the visualization of the investments made: time periods in and their amounts and also how the energy matrix is affected by those investments. In particular the model was applied to Argentina. The most important feature of the model is the ability to assess and to plan the evolution of the energetic matrix at different circumstances. © 2014 Elsevier Ltd.}, note = {cited By 4}, keywords = {}, pubstate = {published}, tppubtype = {article} } This paper presents a mathematical programming model for planning investment in energy sources. The problem formulation considers the use of renewable and not renewable sources and demands, revenues, operation, start-up, and amortization costs of new energy facilities and the amount of reserves of fossil fuels. The objective is the maximization of the Net Present Value (NPV) in the time horizon. The results provide the visualization of the investments made: time periods in and their amounts and also how the energy matrix is affected by those investments. In particular the model was applied to Argentina. The most important feature of the model is the ability to assess and to plan the evolution of the energetic matrix at different circumstances. © 2014 Elsevier Ltd. |
Y. Fumero, G. Corsano, J.M. Montagna Simultaneous batching and scheduling of batch plants that operate in a campaign-mode, considering nonidentical parallel units and sequence-dependent changeovers (Artículo de revista) Industrial and Engineering Chemistry Research, 53 (44), pp. 17059-17074, 2014, (cited By 1). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Fumero201417059, title = {Simultaneous batching and scheduling of batch plants that operate in a campaign-mode, considering nonidentical parallel units and sequence-dependent changeovers}, author = { Y. Fumero and G. Corsano and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84910092411&partnerID=40&md5=11c0ec640c08a8e037ee034118846a88}, doi = {10.1021/ie500454x}, year = {2014}, date = {2014-01-01}, journal = {Industrial and Engineering Chemistry Research}, volume = {53}, number = {44}, pages = {17059-17074}, abstract = {A mathematical modeling framework for the simultaneous batching and scheduling of multiproduct batch plants is proposed in this work. The scheduling decisions are formulated according to campaign-based operation mode. When a stable context can be assumed on the time horizon taken into account, this operation mode assures a more efficient production management. In addition, sequence-dependent changeover times and different unit sizes for parallel units in each stage are considered. Given the plant configuration and unit sizes, the total amount of each product to be produced and the product recipes, the proposed approach determines the number of batches that compose the production campaign and their sizes, the batches assignment to units, the sequencing of batches in each unit for each stage, and the timing of batches in each unit in order to minimize the campaign cycle time. A solution strategy is proposed to enhance the computational performance of the simultaneous optimization. The approach capabilities are shown through three numerical examples. © 2014 American Chemical Society.}, note = {cited By 1}, keywords = {}, pubstate = {published}, tppubtype = {article} } A mathematical modeling framework for the simultaneous batching and scheduling of multiproduct batch plants is proposed in this work. The scheduling decisions are formulated according to campaign-based operation mode. When a stable context can be assumed on the time horizon taken into account, this operation mode assures a more efficient production management. In addition, sequence-dependent changeover times and different unit sizes for parallel units in each stage are considered. Given the plant configuration and unit sizes, the total amount of each product to be produced and the product recipes, the proposed approach determines the number of batches that compose the production campaign and their sizes, the batches assignment to units, the sequencing of batches in each unit for each stage, and the timing of batches in each unit in order to minimize the campaign cycle time. A solution strategy is proposed to enhance the computational performance of the simultaneous optimization. The approach capabilities are shown through three numerical examples. © 2014 American Chemical Society. |
2013 |
Y. Fumero, M.S. Moreno, G. Corsano, J.M. Montagna A multiproduct batch plant design model incorporating production planning and scheduling decisions under a multiperiod scenario (Artículo de revista) Computer Aided Chemical Engineering, 32 , pp. 505-510, 2013, (cited By 2). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Fumero2013505, title = {A multiproduct batch plant design model incorporating production planning and scheduling decisions under a multiperiod scenario}, author = { Y. Fumero and M.S. Moreno and G. Corsano and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879010705&partnerID=40&md5=888d80abfe45ff4bca5f791f86411059}, doi = {10.1016/B978-0-444-63234-0.50085-3}, year = {2013}, date = {2013-01-01}, journal = {Computer Aided Chemical Engineering}, volume = {32}, pages = {505-510}, abstract = {The goal of this work is to propose a multiperiod mixed-integer linear programming model for the design and production planning of multistage multiproduct batch plants integrating, simultaneously, scheduling decisions. The time horizon consists of several periods in which deterministic variations due to seasonal or market fluctuations like prices, products demand limits, costs, and raw materials availability, are taken into account. The plant operates using production campaigns along each time period. The objective function maximizes the net present value considering incomes from product sales and, investment, resources, inventories, operation, waste disposal and late delivery penalties costs. The proposed model allows not only finding the optimal plant structure (unit sizes and its duplication in parallel in each stage), but also the production planning in every time period as well as number and optimal sequence of batches in each campaign. © 2013 Elsevier B.V.}, note = {cited By 2}, keywords = {}, pubstate = {published}, tppubtype = {article} } The goal of this work is to propose a multiperiod mixed-integer linear programming model for the design and production planning of multistage multiproduct batch plants integrating, simultaneously, scheduling decisions. The time horizon consists of several periods in which deterministic variations due to seasonal or market fluctuations like prices, products demand limits, costs, and raw materials availability, are taken into account. The plant operates using production campaigns along each time period. The objective function maximizes the net present value considering incomes from product sales and, investment, resources, inventories, operation, waste disposal and late delivery penalties costs. The proposed model allows not only finding the optimal plant structure (unit sizes and its duplication in parallel in each stage), but also the production planning in every time period as well as number and optimal sequence of batches in each campaign. © 2013 Elsevier B.V. |
Y. Fumero, G. Corsano, J.M. Montagna Integrated modeling framework for supply chain design considering multiproduct production facilities (Artículo de revista) Industrial and Engineering Chemistry Research, 52 (46), pp. 16247-16266, 2013, (cited By 3). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Fumero201316247, title = {Integrated modeling framework for supply chain design considering multiproduct production facilities}, author = { Y. Fumero and G. Corsano and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84890034333&partnerID=40&md5=b33d863ab5129b55d9e6b81d0b8e7e80}, doi = {10.1021/ie400579g}, year = {2013}, date = {2013-01-01}, journal = {Industrial and Engineering Chemistry Research}, volume = {52}, number = {46}, pages = {16247-16266}, abstract = {Significant benefits can be obtained if the interactions among different decision levels are appropriately addressed and simultaneously solved. In this work, a MILP formulation for the supply chain design is presented which simultaneously takes into account considerations of multiproduct batch production facilities. Usually SC design models used to assume a constant performance and design of the involved plants. Our proposal allows assessment of the trade-offs between decisions of different management levels: from the strategic perspective (nodes selection, supplier selection, material flows among nodes, etc.) until the operative one (production scheduling using campaigns). From several examples, this approach shows that decisions about supply chain and plants are tightly related among them and a general performance cannot be assumed for the production facilities. © 2013 American Chemical Society.}, note = {cited By 3}, keywords = {}, pubstate = {published}, tppubtype = {article} } Significant benefits can be obtained if the interactions among different decision levels are appropriately addressed and simultaneously solved. In this work, a MILP formulation for the supply chain design is presented which simultaneously takes into account considerations of multiproduct batch production facilities. Usually SC design models used to assume a constant performance and design of the involved plants. Our proposal allows assessment of the trade-offs between decisions of different management levels: from the strategic perspective (nodes selection, supplier selection, material flows among nodes, etc.) until the operative one (production scheduling using campaigns). From several examples, this approach shows that decisions about supply chain and plants are tightly related among them and a general performance cannot be assumed for the production facilities. © 2013 American Chemical Society. |
G. Corsano, Y. Fumero, J.M. Montagna A mixed-integer linear programming approach for simultaneous ethanol supply chain and involved plants design considering production scheduling (Artículo de revista) Chemical Engineering Transactions, 32 , pp. 1159-1164, 2013, (cited By 0). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano20131159, title = {A mixed-integer linear programming approach for simultaneous ethanol supply chain and involved plants design considering production scheduling}, author = { G. Corsano and Y. Fumero and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879222361&partnerID=40&md5=431e14c36660a6277da73c137388252e}, doi = {10.3303/CET1332194}, year = {2013}, date = {2013-01-01}, journal = {Chemical Engineering Transactions}, volume = {32}, pages = {1159-1164}, abstract = {In this work, a mixed integer programming model for the optimal design and production scheduling of an integrated ethanol/yeast supply chain is proposed. The model simultaneously determines the structure of a three-echelon supply chain (raw material sites-production facilities-customer zones), material flows among network nodes, the design of each installed plant, and the corresponding production campaign. For the selected facilities, out of phase duplication is considered for batch stages, while for equipment design, the optimal sizes are selected from a set of discrete unit values. Also, the number of batches of each product in the campaign and its sequencing for each ethanol/yeast plant are obtained. From the mathematical point of view, a new challenge is posed in this problem: The appropriate production campaign composition for each plant cannot be easily determined since products to be produced in each plant, as well as their production levels, are results of the supply chain design problem which is simultaneously optimized. Therefore, the trade-offs among all these decisions are jointly evaluated in an integrated model. Several examples are considered in order to provide insights into the problem. The presented approach serves as a tool for guiding the decision making for designing and planning supply chain and involved production plants. Copyright © 2013, AIDIC Servizi S.r.l.}, note = {cited By 0}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this work, a mixed integer programming model for the optimal design and production scheduling of an integrated ethanol/yeast supply chain is proposed. The model simultaneously determines the structure of a three-echelon supply chain (raw material sites-production facilities-customer zones), material flows among network nodes, the design of each installed plant, and the corresponding production campaign. For the selected facilities, out of phase duplication is considered for batch stages, while for equipment design, the optimal sizes are selected from a set of discrete unit values. Also, the number of batches of each product in the campaign and its sequencing for each ethanol/yeast plant are obtained. From the mathematical point of view, a new challenge is posed in this problem: The appropriate production campaign composition for each plant cannot be easily determined since products to be produced in each plant, as well as their production levels, are results of the supply chain design problem which is simultaneously optimized. Therefore, the trade-offs among all these decisions are jointly evaluated in an integrated model. Several examples are considered in order to provide insights into the problem. The presented approach serves as a tool for guiding the decision making for designing and planning supply chain and involved production plants. Copyright © 2013, AIDIC Servizi S.r.l. |
G. Corsano, G. Guillén-Gosálbez, J.M. Montagna Solution strategies for the design and planning of supply chains and embedded plants (Artículo de revista) Chemical Engineering Transactions, 32 , pp. 1351-1356, 2013, (cited By 0). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano20131351, title = {Solution strategies for the design and planning of supply chains and embedded plants}, author = { G. Corsano and G. Guillén-Gosálbez and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879223544&partnerID=40&md5=fbd24562bcc016206b78fd49a190fa1e}, doi = {10.33032/CET1332226}, year = {2013}, date = {2013-01-01}, journal = {Chemical Engineering Transactions}, volume = {32}, pages = {1351-1356}, abstract = {In this work we present solution strategies for the task of designing supply chains with the explicit consideration of the detailed plant performance of the embedded facilities. Taking as a basis an mixed integer linear programming (MILP) model introduced in a previous work, we propose three solution strategies that exploit the underlying mathematical structure. The strategies are based on bi-level decomposition algorithm and Lagrangean decomposition method. Also, we propose a hybrid approach that takes advantage of both well known strategies, improving the solution obtained by Lagrangean methods. Numerical results show that the bi-level approach works more efficiently than Lagrangean and hybrid decomposition, and lead to significant CPU savings when compared to the full space MILP for large scale problems. Copyright © 2013, AIDIC Servizi S.r.l.}, note = {cited By 0}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this work we present solution strategies for the task of designing supply chains with the explicit consideration of the detailed plant performance of the embedded facilities. Taking as a basis an mixed integer linear programming (MILP) model introduced in a previous work, we propose three solution strategies that exploit the underlying mathematical structure. The strategies are based on bi-level decomposition algorithm and Lagrangean decomposition method. Also, we propose a hybrid approach that takes advantage of both well known strategies, improving the solution obtained by Lagrangean methods. Numerical results show that the bi-level approach works more efficiently than Lagrangean and hybrid decomposition, and lead to significant CPU savings when compared to the full space MILP for large scale problems. Copyright © 2013, AIDIC Servizi S.r.l. |
Y. Fumero, G. Corsano, J.M. Montagna A Mixed Integer Linear Programming model for simultaneous design and scheduling of flowshop plants (Artículo de revista) Applied Mathematical Modelling, 37 (4), pp. 1652-1664, 2013, (cited By 1). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Fumero20131652, title = {A Mixed Integer Linear Programming model for simultaneous design and scheduling of flowshop plants}, author = { Y. Fumero and G. Corsano and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84870242288&partnerID=40&md5=5ba3d78c86bc3a6282949c985444ad5d}, doi = {10.1016/j.apm.2012.04.043}, year = {2013}, date = {2013-01-01}, journal = {Applied Mathematical Modelling}, volume = {37}, number = {4}, pages = {1652-1664}, abstract = {Models representing batch plants, especially flowshop facilities where all the products require the same processing sequence, have received much attention in the last decades. In particular, plant design and production scheduling have been addressed as disconnected problems due to the tremendous combinatory complexity associated to their simultaneous optimization. This paper develops a model for both design and scheduling of flowshop batch plants considering mixed product campaign and parallel unit duplication. Thus, a realistic formulation is attained, where industrial and commercial aspects are jointly taken into account. The proposed approach is formulated as a Mixed Integer Linear Programming model that determines the number of units per stages, unit and batch sizes and batch sequencing in each unit in order to fulfill the demand requirements at minimum investment cost. A set of novel constraints is proposed where the number of batches of each product in the campaign is an optimization variable. The approach performance is evaluated through several numerical examples. © 2012 Elsevier Inc.}, note = {cited By 1}, keywords = {}, pubstate = {published}, tppubtype = {article} } Models representing batch plants, especially flowshop facilities where all the products require the same processing sequence, have received much attention in the last decades. In particular, plant design and production scheduling have been addressed as disconnected problems due to the tremendous combinatory complexity associated to their simultaneous optimization. This paper develops a model for both design and scheduling of flowshop batch plants considering mixed product campaign and parallel unit duplication. Thus, a realistic formulation is attained, where industrial and commercial aspects are jointly taken into account. The proposed approach is formulated as a Mixed Integer Linear Programming model that determines the number of units per stages, unit and batch sizes and batch sequencing in each unit in order to fulfill the demand requirements at minimum investment cost. A set of novel constraints is proposed where the number of batches of each product in the campaign is an optimization variable. The approach performance is evaluated through several numerical examples. © 2012 Elsevier Inc. |
2012 |
M.S. Moreno, J.M. Montagna Multiperiod production planning and design of batch plants under uncertainty (Artículo de revista) Computers and Chemical Engineering, 40 , pp. 181-190, 2012, (cited By 4). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Moreno2012181, title = {Multiperiod production planning and design of batch plants under uncertainty}, author = { M.S. Moreno and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84860365713&partnerID=40&md5=b5cd3c1c3e6e21a385470c739586f904}, doi = {10.1016/j.compchemeng.2012.01.008}, year = {2012}, date = {2012-01-01}, journal = {Computers and Chemical Engineering}, volume = {40}, pages = {181-190}, abstract = {A two-stage stochastic multiperiod LGDP (linear generalized disjunctive programming) model was developed to address the integrated design and production planning of multiproduct batch plants. Both problems are encompassed considering uncertainty in product demands represented by a set of scenarios. The design variables are modeled as here-and-now decisions which are made before the demand realization, while the production planning variables are delayed in a wait-and-see mode to optimize in the face of uncertainty. Specifically, the proposed model determines the structure of the batch plant (duplication of units in series and in parallel) and the unit sizes, together with the production planning decisions in each time period within each scenario. The model also allows the incorporation of new equipment items at different periods. The objective is to maximize the expected net present value of the benefit. To assess the advantages of the proposed formulation, an extraction process that produces oleoresins is solved. © 2012 Elsevier Ltd.}, note = {cited By 4}, keywords = {}, pubstate = {published}, tppubtype = {article} } A two-stage stochastic multiperiod LGDP (linear generalized disjunctive programming) model was developed to address the integrated design and production planning of multiproduct batch plants. Both problems are encompassed considering uncertainty in product demands represented by a set of scenarios. The design variables are modeled as here-and-now decisions which are made before the demand realization, while the production planning variables are delayed in a wait-and-see mode to optimize in the face of uncertainty. Specifically, the proposed model determines the structure of the batch plant (duplication of units in series and in parallel) and the unit sizes, together with the production planning decisions in each time period within each scenario. The model also allows the incorporation of new equipment items at different periods. The objective is to maximize the expected net present value of the benefit. To assess the advantages of the proposed formulation, an extraction process that produces oleoresins is solved. © 2012 Elsevier Ltd. |
Y. Fumero, G. Corsano, J.M. Montagna Scheduling of multistage multiproduct batch plants operating in a campaign-mode (Artículo de revista) Industrial and Engineering Chemistry Research, 51 (10), pp. 3988-4001, 2012, (cited By 6). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Fumero20123988, title = {Scheduling of multistage multiproduct batch plants operating in a campaign-mode}, author = { Y. Fumero and G. Corsano and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84858304484&partnerID=40&md5=154d7ebb053d3ee53210d3281ba6957a}, doi = {10.1021/ie201757t}, year = {2012}, date = {2012-01-01}, journal = {Industrial and Engineering Chemistry Research}, volume = {51}, number = {10}, pages = {3988-4001}, abstract = {In this work, mixed integer linear programming models for scheduling multistage multiproduct batch plants operating under campaign mode are proposed. It is assumed that each plant stage includes identical parallel units operating out of phase. Given the plant topology and the number of batches of each product to be processed in the campaign, the objective is assigning batches to units in each stage in order to minimize the cycle time of the campaign. An asynchronous slot-based continuous-time representation for modeling the assignment of batches to units is used. These formulations require postulating a priori a suitable number of production slots for each unit that integrates the plant, which severely affects the model computational performance. Then, to reduce the computational effort, a solution strategy is proposed where a simplified model, which includes preordering constraints, is first solved. Finally, a detailed scheduling model is posed where the optimal cycle time of simplified model is used as bound for the cycle time and a novel expression for the number of proposed slots for each unit is considered. The strategy is highlighted through examples that show how the computational burden is reduced. © 2012 American Chemical Society.}, note = {cited By 6}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this work, mixed integer linear programming models for scheduling multistage multiproduct batch plants operating under campaign mode are proposed. It is assumed that each plant stage includes identical parallel units operating out of phase. Given the plant topology and the number of batches of each product to be processed in the campaign, the objective is assigning batches to units in each stage in order to minimize the cycle time of the campaign. An asynchronous slot-based continuous-time representation for modeling the assignment of batches to units is used. These formulations require postulating a priori a suitable number of production slots for each unit that integrates the plant, which severely affects the model computational performance. Then, to reduce the computational effort, a solution strategy is proposed where a simplified model, which includes preordering constraints, is first solved. Finally, a detailed scheduling model is posed where the optimal cycle time of simplified model is used as bound for the cycle time and a novel expression for the number of proposed slots for each unit is considered. The strategy is highlighted through examples that show how the computational burden is reduced. © 2012 American Chemical Society. |
Y. Fumero, J.M. Montagna, G. Corsano Simultaneous design and scheduling of a semicontinuous/batch plant for ethanol and derivatives production (Artículo de revista) Computers and Chemical Engineering, 36 (1), pp. 342-357, 2012, (cited By 6). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Fumero2012342, title = {Simultaneous design and scheduling of a semicontinuous/batch plant for ethanol and derivatives production}, author = { Y. Fumero and J.M. Montagna and G. Corsano}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-82055191632&partnerID=40&md5=2fb72df875edd5838816eb8322b98105}, doi = {10.1016/j.compchemeng.2011.08.004}, year = {2012}, date = {2012-01-01}, journal = {Computers and Chemical Engineering}, volume = {36}, number = {1}, pages = {342-357}, abstract = {The interest on renewable fuels has greatly increased in the last years. Particularly, ethanol production arises as a good solution to many current economic-environmental problems. Yeast production from the ethanol residuals constitutes a sustainable alternative. Usually, this kind of plants is designed using single product campaigns. However, since yeast degradation is fast and a continuous supply must be assured, the mixed product campaign policy is the most appropriate. Besides, a stable context can be assumed to justify this approach that takes advantage of the special structure of the plant. Therefore, in this paper, a mixed integer linear programming model is formulated for simultaneous design and scheduling of a semicontinuous/batch plant for ethanol and derivatives production. The optimal plant configuration, unit sizes, number of batches of each product in the campaign and its sequencing is obtained in order to fulfill the ethanol and yeast demands minimizing the investment cost. © 2011 Elsevier Ltd.}, note = {cited By 6}, keywords = {}, pubstate = {published}, tppubtype = {article} } The interest on renewable fuels has greatly increased in the last years. Particularly, ethanol production arises as a good solution to many current economic-environmental problems. Yeast production from the ethanol residuals constitutes a sustainable alternative. Usually, this kind of plants is designed using single product campaigns. However, since yeast degradation is fast and a continuous supply must be assured, the mixed product campaign policy is the most appropriate. Besides, a stable context can be assumed to justify this approach that takes advantage of the special structure of the plant. Therefore, in this paper, a mixed integer linear programming model is formulated for simultaneous design and scheduling of a semicontinuous/batch plant for ethanol and derivatives production. The optimal plant configuration, unit sizes, number of batches of each product in the campaign and its sequencing is obtained in order to fulfill the ethanol and yeast demands minimizing the investment cost. © 2011 Elsevier Ltd. |
Y. Fumero, G. Corsano, J.M. Montagna Planning and scheduling of multistage multiproduct batch plants operating under production campaigns (Artículo de revista) Annals of Operations Research, 199 (1), pp. 249-268, 2012, (cited By 2). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Fumero2012249, title = {Planning and scheduling of multistage multiproduct batch plants operating under production campaigns}, author = { Y. Fumero and G. Corsano and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84866090422&partnerID=40&md5=330e636b7a2db722dc0e00f1b56f6e9c}, doi = {10.1007/s10479-011-0954-8}, year = {2012}, date = {2012-01-01}, journal = {Annals of Operations Research}, volume = {199}, number = {1}, pages = {249-268}, abstract = {When plants are operated under stable conditions during reasonable time periods, operation with campaigns is particularly appropriate. The regular operation of the facilities simplifies the production control, the inventory management, the plant operability, etc. A campaign includes several batches of different products that are going to be manufactured and the same one is cyclically repeated over the time horizon. In this work, a mixed integer linear programming formulation is proposed for the planning and scheduling of given multiproduct batch plants operating with campaigns. The number and size of batches for each product, the campaign composition, the assignment of batches to units and their sequencing, and the number of times that the campaign is repeated over the time horizon must be determined. Taking into account this scenario, an appropriate performance measure is the minimization of the cycle time. An asynchronous slot-based continuous-time representation for modeling the assignment of batches to units and their sequencing is employed, and a novel rule for determining the maximum number of slots postulated for each unit is proposed. © 2011 Springer Science+Business Media, LLC.}, note = {cited By 2}, keywords = {}, pubstate = {published}, tppubtype = {article} } When plants are operated under stable conditions during reasonable time periods, operation with campaigns is particularly appropriate. The regular operation of the facilities simplifies the production control, the inventory management, the plant operability, etc. A campaign includes several batches of different products that are going to be manufactured and the same one is cyclically repeated over the time horizon. In this work, a mixed integer linear programming formulation is proposed for the planning and scheduling of given multiproduct batch plants operating with campaigns. The number and size of batches for each product, the campaign composition, the assignment of batches to units and their sequencing, and the number of times that the campaign is repeated over the time horizon must be determined. Taking into account this scenario, an appropriate performance measure is the minimization of the cycle time. An asynchronous slot-based continuous-time representation for modeling the assignment of batches to units and their sequencing is employed, and a novel rule for determining the maximum number of slots postulated for each unit is proposed. © 2011 Springer Science+Business Media, LLC. |
2011 |
M.S. Moreno, J.M. Montagna Multiproduct batch plants design using linear process performance models (Artículo de revista) AIChE Journal, 57 (1), pp. 122-135, 2011, (cited By 1). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Moreno2011122, title = {Multiproduct batch plants design using linear process performance models}, author = { M.S. Moreno and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-78650039700&partnerID=40&md5=ef5cc7b587c22c8eb2b9a06e5fe6acd8}, doi = {10.1002/aic.12248}, year = {2011}, date = {2011-01-01}, journal = {AIChE Journal}, volume = {57}, number = {1}, pages = {122-135}, abstract = {In this contribution, a novel linear generalized disjunctive programming (LGDP) model is developed for the design of multiproduct batch plants optimizing both process variables and the structure of the plant through the use of process performance models. These models describe unit operations using explicit expressions for the size and time factors as functions of the process variables with the highest impact. To attain a linear formulation, values of the process variables as well as unit sizes are selected from a set of meaningful discrete values provided by the designer. Regarding structural alternatives, both kinds of unit duplications in series and in parallel are considered in this approach. The inclusion of the duplication in series requires different detailed models that depend on the structure selected. Thus, in a new approach for the multiproduct batch plant design, a set of potential structural alternatives for the plant is defined. 2010 American Institute of Chemical Engineers (AIChE).}, note = {cited By 1}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this contribution, a novel linear generalized disjunctive programming (LGDP) model is developed for the design of multiproduct batch plants optimizing both process variables and the structure of the plant through the use of process performance models. These models describe unit operations using explicit expressions for the size and time factors as functions of the process variables with the highest impact. To attain a linear formulation, values of the process variables as well as unit sizes are selected from a set of meaningful discrete values provided by the designer. Regarding structural alternatives, both kinds of unit duplications in series and in parallel are considered in this approach. The inclusion of the duplication in series requires different detailed models that depend on the structure selected. Thus, in a new approach for the multiproduct batch plant design, a set of potential structural alternatives for the plant is defined. 2010 American Institute of Chemical Engineers (AIChE). |
G. Corsano, J.M. Montagna Mathematical modeling for simultaneous design of plants and supply chain in the batch process industry (Artículo de revista) Computers and Chemical Engineering, 35 (1), pp. 149-164, 2011, (cited By 10). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano2011149, title = {Mathematical modeling for simultaneous design of plants and supply chain in the batch process industry}, author = { G. Corsano and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-78649456726&partnerID=40&md5=9d5d1ee13c96dc3eb6a743aaf2dfd599}, doi = {10.1016/j.compchemeng.2010.06.008}, year = {2011}, date = {2011-01-01}, journal = {Computers and Chemical Engineering}, volume = {35}, number = {1}, pages = {149-164}, abstract = {Most supply chain design models have focused on the integration problem, where links among nodes must be settled in order to allow an efficient operation of the whole system. At this level, all the problem elements are modeled like black boxes, and the optimal solution determines the nodes allocation and their capacity, and links among nodes. In this work, a new approach is proposed where decisions about plant design are simultaneously made with operational and planning decisions on the supply chain. Thus, tradeoffs between the plant structure and the network design are assessed. The model considers unit duplications and the allocation of storage tanks for plant design. Using different sets of discrete sizes for batch units and tanks, a mixed integer linear programming model (MILP) is attained. The proposed formulation is compared with other non-integrated approaches in order to illustrate the advantages of the presented simultaneous approach. © 2010 Elsevier Ltd.}, note = {cited By 10}, keywords = {}, pubstate = {published}, tppubtype = {article} } Most supply chain design models have focused on the integration problem, where links among nodes must be settled in order to allow an efficient operation of the whole system. At this level, all the problem elements are modeled like black boxes, and the optimal solution determines the nodes allocation and their capacity, and links among nodes. In this work, a new approach is proposed where decisions about plant design are simultaneously made with operational and planning decisions on the supply chain. Thus, tradeoffs between the plant structure and the network design are assessed. The model considers unit duplications and the allocation of storage tanks for plant design. Using different sets of discrete sizes for batch units and tanks, a mixed integer linear programming model (MILP) is attained. The proposed formulation is compared with other non-integrated approaches in order to illustrate the advantages of the presented simultaneous approach. © 2010 Elsevier Ltd. |
Y. Fumero, G. Corsano, J.M. Montagna Detailed design of multiproduct batch plants considering production scheduling (Artículo de revista) Industrial and Engineering Chemistry Research, 50 (10), pp. 6146-6160, 2011, (cited By 5). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Fumero20116146, title = {Detailed design of multiproduct batch plants considering production scheduling}, author = { Y. Fumero and G. Corsano and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79955909794&partnerID=40&md5=aab0c434e32d3cbfd3ee8af810a0268b}, doi = {10.1021/ie1008376}, year = {2011}, date = {2011-01-01}, journal = {Industrial and Engineering Chemistry Research}, volume = {50}, number = {10}, pages = {6146-6160}, abstract = {Most previous approaches for the design of multiproduct batch plants have assumed the simplest scheduling policy. In order to simplify the formulation and take into account that many times demands are uncertain, they have used single product campaigns to determine the plant configuration and select the unit sizes. From the commercial point of view, this production mode is not realistic: for example, huge inventories should be kept to support this approach. However, when a stable context can be assured, the simultaneous resolution of design and a more detailed scheduling allows assessing different trade-offs. This article presents a new mixed integer linear programming (MILP) formulation assuming mixed product campaigns. Now, the composition and the sequence of the batches in the campaign must be determined as well as the assignment of batches to units when parallel units are used. Taking into account that the plant configuration is simultaneously obtained, the scheduling problem must be solved without knowing the number of available units and their sizes. Several examples are presented in order to show the performance of the proposed approach. © 2011 American Chemical Society.}, note = {cited By 5}, keywords = {}, pubstate = {published}, tppubtype = {article} } Most previous approaches for the design of multiproduct batch plants have assumed the simplest scheduling policy. In order to simplify the formulation and take into account that many times demands are uncertain, they have used single product campaigns to determine the plant configuration and select the unit sizes. From the commercial point of view, this production mode is not realistic: for example, huge inventories should be kept to support this approach. However, when a stable context can be assured, the simultaneous resolution of design and a more detailed scheduling allows assessing different trade-offs. This article presents a new mixed integer linear programming (MILP) formulation assuming mixed product campaigns. Now, the composition and the sequence of the batches in the campaign must be determined as well as the assignment of batches to units when parallel units are used. Taking into account that the plant configuration is simultaneously obtained, the scheduling problem must be solved without knowing the number of available units and their sizes. Several examples are presented in order to show the performance of the proposed approach. © 2011 American Chemical Society. |
G. Corsano, A.R. Vecchietti, J.M. Montagna Optimal design for sustainable bioethanol supply chain considering detailed plant performance model (Artículo de revista) Computers and Chemical Engineering, 35 (8), pp. 1384-1398, 2011, (cited By 28). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano20111384, title = {Optimal design for sustainable bioethanol supply chain considering detailed plant performance model}, author = { G. Corsano and A.R. Vecchietti and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960564382&partnerID=40&md5=4fbcec61b8b9d3e49d6bdbee1b14425d}, doi = {10.1016/j.compchemeng.2011.01.008}, year = {2011}, date = {2011-01-01}, journal = {Computers and Chemical Engineering}, volume = {35}, number = {8}, pages = {1384-1398}, abstract = {The always increasing energy demand combined with the declining availability of fossil fuels is driving forces for the investigation of renewable energy sources. In this context, bioethanol is considered as one of the most appropriate solutions for short term gasoline substitution. Then, the motivation of this work is to propose a MINLP optimization model for a sustainable design and behavior analysis of sugar/ethanol supply chain (SC). A detailed model for ethanol plant design is embedded in the SC model, and therefore plant and SC designs are simultaneously obtained. Yeast production and residue recycles are taken into account in order to assess the environmental impact. The inclusion of sustainability issues in the model produces both economic and operative changes in SC and plant designs. The simultaneous optimization of these elements allows the evaluation of several compromises among design and process variables. These issues are highlighted throughout the evaluated studied cases. © 2011 Elsevier Ltd.}, note = {cited By 28}, keywords = {}, pubstate = {published}, tppubtype = {article} } The always increasing energy demand combined with the declining availability of fossil fuels is driving forces for the investigation of renewable energy sources. In this context, bioethanol is considered as one of the most appropriate solutions for short term gasoline substitution. Then, the motivation of this work is to propose a MINLP optimization model for a sustainable design and behavior analysis of sugar/ethanol supply chain (SC). A detailed model for ethanol plant design is embedded in the SC model, and therefore plant and SC designs are simultaneously obtained. Yeast production and residue recycles are taken into account in order to assess the environmental impact. The inclusion of sustainability issues in the model produces both economic and operative changes in SC and plant designs. The simultaneous optimization of these elements allows the evaluation of several compromises among design and process variables. These issues are highlighted throughout the evaluated studied cases. © 2011 Elsevier Ltd. |
L.C. Ballejos, J.M. Montagna Modeling stakeholders for information systems design processes (Artículo de revista) Requirements Engineering, 16 (4), pp. 281-296, 2011, (cited By 7). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Ballejos2011281, title = {Modeling stakeholders for information systems design processes}, author = { L.C. Ballejos and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80455155164&partnerID=40&md5=e8bbd0ce071809810976c74fdd31dc29}, doi = {10.1007/s00766-011-0123-2}, year = {2011}, date = {2011-01-01}, journal = {Requirements Engineering}, volume = {16}, number = {4}, pages = {281-296}, abstract = {In the software engineering area, stakeholders play a significant role in requirements elicitation and validation. Moreover, all the project management is integrally affected by stakeholders' perspectives and their participation. This effect is strengthened when projects involve several organizations. Thus, a clear and explicit representation of the stakeholders and their attributes is required in order to achieve their effective management. The integration of this representation with other models capturing the knowledge of engineering design processes can be of great utility in software development projects. In this sense, this article describes the construction of an integrated model for representing stakeholders in information systems design processes. This proposal considers diverse attributes related to stakeholders and gives information for performing quantitative calculations about their interest and influence over the project. Thus, more inclusive experiences of the information systems development can be supported, even more if contexts with the participation of several organizations are considered. © 2011 Springer-Verlag London Limited.}, note = {cited By 7}, keywords = {}, pubstate = {published}, tppubtype = {article} } In the software engineering area, stakeholders play a significant role in requirements elicitation and validation. Moreover, all the project management is integrally affected by stakeholders' perspectives and their participation. This effect is strengthened when projects involve several organizations. Thus, a clear and explicit representation of the stakeholders and their attributes is required in order to achieve their effective management. The integration of this representation with other models capturing the knowledge of engineering design processes can be of great utility in software development projects. In this sense, this article describes the construction of an integrated model for representing stakeholders in information systems design processes. This proposal considers diverse attributes related to stakeholders and gives information for performing quantitative calculations about their interest and influence over the project. Thus, more inclusive experiences of the information systems development can be supported, even more if contexts with the participation of several organizations are considered. © 2011 Springer-Verlag London Limited. |
Y. Fumero, G. Corsano, J.M. Montagna Simultaneous design and scheduling of a plant for producing ethanol and derivatives (Artículo de revista) Computer Aided Chemical Engineering, 29 , pp. 1416-1420, 2011, (cited By 2). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Fumero20111416, title = {Simultaneous design and scheduling of a plant for producing ethanol and derivatives}, author = { Y. Fumero and G. Corsano and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79958814765&partnerID=40&md5=fefbf41bf1e1e0838525a7a5d0874ae6}, doi = {10.1016/B978-0-444-54298-4.50062-3}, year = {2011}, date = {2011-01-01}, journal = {Computer Aided Chemical Engineering}, volume = {29}, pages = {1416-1420}, abstract = {In this paper, a mixed integer linear programming model is formulated for the simultaneous design and scheduling of a semicontinuous/batch plant for producing ethanol and two types of yeast. Yeast productions emerge as a sustainable alternative for ethanol residues. The optimal plant configuration, unit sizes, number and size of batches in the campaign and its sequencing is obtained in order to fulfill the ethanol and yeast demands minimizing the investment cost. A novel set of scheduling constraints is proposed for this kind of plants. © 2011 Elsevier B.V.}, note = {cited By 2}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this paper, a mixed integer linear programming model is formulated for the simultaneous design and scheduling of a semicontinuous/batch plant for producing ethanol and two types of yeast. Yeast productions emerge as a sustainable alternative for ethanol residues. The optimal plant configuration, unit sizes, number and size of batches in the campaign and its sequencing is obtained in order to fulfill the ethanol and yeast demands minimizing the investment cost. A novel set of scheduling constraints is proposed for this kind of plants. © 2011 Elsevier B.V. |
2010 |
L.C. Ballejos, J.M. Montagna Identifying interorganisational networks: A factor-based approach (Artículo de revista) International Journal of Networking and Virtual Organisations, 7 (1), pp. 1-22, 2010, (cited By 6). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Ballejos20101, title = {Identifying interorganisational networks: A factor-based approach}, author = { L.C. Ballejos and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-72149086127&partnerID=40&md5=b173f453b061f160f4c5703078cdca87}, doi = {10.1504/IJNVO.2010.029867}, year = {2010}, date = {2010-01-01}, journal = {International Journal of Networking and Virtual Organisations}, volume = {7}, number = {1}, pages = {1-22}, abstract = {This paper deeply analyses Interorganisational Networks (IONs), reaching the understanding of their creation and operation in different contexts. The rapid growth of IONs has not yet resulted in any systematic characterisation for them. Indeed, the literature has primarily discussed specific types, but there is a need to determine a set of factors that best describes them and, at the same time, helps in their individualisation and distinction from others. Thus, a framework to identify the IONs is developed. It is formed by diverse factors divided in three perspectives: organisational, interorganisational and technological. This will allow users and developers to understand this complex context, specify their needs and establish a common basis for IONs' application and understanding, including the aspects of their design and analysis when implementing Interorganisational Information Systems (IOSs), etc. As an example, the decisions at different levels during Supply Chain Networks' (SCNs) operation are analysed. © 2010 Inderscience Enterprises Ltd.}, note = {cited By 6}, keywords = {}, pubstate = {published}, tppubtype = {article} } This paper deeply analyses Interorganisational Networks (IONs), reaching the understanding of their creation and operation in different contexts. The rapid growth of IONs has not yet resulted in any systematic characterisation for them. Indeed, the literature has primarily discussed specific types, but there is a need to determine a set of factors that best describes them and, at the same time, helps in their individualisation and distinction from others. Thus, a framework to identify the IONs is developed. It is formed by diverse factors divided in three perspectives: organisational, interorganisational and technological. This will allow users and developers to understand this complex context, specify their needs and establish a common basis for IONs' application and understanding, including the aspects of their design and analysis when implementing Interorganisational Information Systems (IOSs), etc. As an example, the decisions at different levels during Supply Chain Networks' (SCNs) operation are analysed. © 2010 Inderscience Enterprises Ltd. |
2009 |
Y. Fumero, G. Corsano, J.M. Montagna Detailed supply chain design considering production campaigns (Artículo de revista) Computer Aided Chemical Engineering, 27 (C), pp. 2103-2108, 2009, (cited By 0). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Fumero20092103, title = {Detailed supply chain design considering production campaigns}, author = { Y. Fumero and G. Corsano and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77649284536&partnerID=40&md5=f780642111775e296d88aa2ee4660a0d}, doi = {10.1016/S1570-7946(09)70741-2}, year = {2009}, date = {2009-01-01}, journal = {Computer Aided Chemical Engineering}, volume = {27}, number = {C}, pages = {2103-2108}, abstract = {Until now, supply chain (SC) design models have been mainly focused on SC integration, where nodes allocation and links among them are selected in order to allow an efficient operation of the whole system. Usually, the detailed configuration and operation of the plants have not been taken into account. In this work, a heuristic strategy is presented in order to design the SC, including the structure and the operation, of plants with mixed product campaigns. The incorporation of plant design and mixed product campaign in the SC design model leads to a non linear formulation. Hence, a two stages approach is addressed in order to solve this problem through linear models. In. the first stage, a SC design, standard model is solved in order to obtain the network, design with minimum logistic cost and the production of each selected plant. These results are used to estimate the possible campaigns composition for each plant. In the second stage, specific scheduling constraints are incorporated in the plant design model, to determine the optimal mixed product campaign configuration and the structure of each plant, minimizing the investment cost. This methodology allows obtaining the SC logistic configuration and, for each selected plant, the optimal, mixed production campaign, simultaneously with the plant design, in order to meet a specified economic criterion fulfilling demand requirements. © 2009 Elsevier B.V. All rights reserved.}, note = {cited By 0}, keywords = {}, pubstate = {published}, tppubtype = {article} } Until now, supply chain (SC) design models have been mainly focused on SC integration, where nodes allocation and links among them are selected in order to allow an efficient operation of the whole system. Usually, the detailed configuration and operation of the plants have not been taken into account. In this work, a heuristic strategy is presented in order to design the SC, including the structure and the operation, of plants with mixed product campaigns. The incorporation of plant design and mixed product campaign in the SC design model leads to a non linear formulation. Hence, a two stages approach is addressed in order to solve this problem through linear models. In. the first stage, a SC design, standard model is solved in order to obtain the network, design with minimum logistic cost and the production of each selected plant. These results are used to estimate the possible campaigns composition for each plant. In the second stage, specific scheduling constraints are incorporated in the plant design model, to determine the optimal mixed product campaign configuration and the structure of each plant, minimizing the investment cost. This methodology allows obtaining the SC logistic configuration and, for each selected plant, the optimal, mixed production campaign, simultaneously with the plant design, in order to meet a specified economic criterion fulfilling demand requirements. © 2009 Elsevier B.V. All rights reserved. |
M.S. Moreno, J.M. Montagna Multiperiod production planning and design of batch plants under uncertainty (Artículo de revista) Computer Aided Chemical Engineering, 27 (C), pp. 615-620, 2009, (cited By 0). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Moreno2009615, title = {Multiperiod production planning and design of batch plants under uncertainty}, author = { M.S. Moreno and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77649314498&partnerID=40&md5=33c84c3bc9803798ec7edacaa89d74e2}, doi = {10.1016/S1570-7946(09)70323-2}, year = {2009}, date = {2009-01-01}, journal = {Computer Aided Chemical Engineering}, volume = {27}, number = {C}, pages = {615-620}, abstract = {A general multiperiod LGDP (Linear General Disjunctive Programming) model in a multiproduct batch plant has been developed. Both overall production planning and design decisions of the plant are encompassed considering uncertainty in demands represented by a set of scenarios. Specifically, the proposed model considers simultaneously the plant structure (duplication of units in parallel and the new option "in series"), the decision variables of the batch plant (unit sizes, number of batches, total time for producing each product), and the production planning decisions (e.g. plan of production, policy of inventory, purchases of raw materials and sales of products) in each time period within each scenario. Also, this model allows the incorporation of new equipment items in different periods. The overall objective is to maximize the expected net present value of the benefit. The benefits of the simultaneous optimization of production planning and design decisions under uncertain product demands in a multiscenario approach are demonstrated through a particular extraction process that produces oleoresins. © 2009 Elsevier B.V. All rights reserved.}, note = {cited By 0}, keywords = {}, pubstate = {published}, tppubtype = {article} } A general multiperiod LGDP (Linear General Disjunctive Programming) model in a multiproduct batch plant has been developed. Both overall production planning and design decisions of the plant are encompassed considering uncertainty in demands represented by a set of scenarios. Specifically, the proposed model considers simultaneously the plant structure (duplication of units in parallel and the new option "in series"), the decision variables of the batch plant (unit sizes, number of batches, total time for producing each product), and the production planning decisions (e.g. plan of production, policy of inventory, purchases of raw materials and sales of products) in each time period within each scenario. Also, this model allows the incorporation of new equipment items in different periods. The overall objective is to maximize the expected net present value of the benefit. The benefits of the simultaneous optimization of production planning and design decisions under uncertain product demands in a multiscenario approach are demonstrated through a particular extraction process that produces oleoresins. © 2009 Elsevier B.V. All rights reserved. |
G. Corsano, P.A. Aguirre, J.M. Montagna Multiperiod design and planning of multiproduct batch plants with mixed-product campaigns (Artículo de revista) AIChE Journal, 55 (9), pp. 2356-2369, 2009, (cited By 4). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano20092356, title = {Multiperiod design and planning of multiproduct batch plants with mixed-product campaigns}, author = { G. Corsano and P.A. Aguirre and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-69049087107&partnerID=40&md5=c5515af713b83df8c0600dbaea1f526f}, doi = {10.1002/aic.11854}, year = {2009}, date = {2009-01-01}, journal = {AIChE Journal}, volume = {55}, number = {9}, pages = {2356-2369}, abstract = {This work presents a multiperiod optimization model for multiproduct batch plants operating during several time periods with different characteristics because of seasonal and market fluctuations. This model simultaneously considers decisions about the design, operation, scheduling, and planning of the plant and the corresponding tradeoffs among them. Thus, decomposition mechanisms, which have been frequently used in previous approaches, are avoided through a formulation that takes into account the main elements of these problems. Besides, decisions are affected by different context conditions arisen by the multiperiod effect. Through a mixed integer nonlinear program, different alternatives of mixed production campaign are considered, handled by means of a novel set of scheduling constraints. This approach is posed for a fermen- tors network with high detail level in the description of the unit operations in a plant that produces yeast and ethanol. © 2009 American Institute of Chemical Engineers.}, note = {cited By 4}, keywords = {}, pubstate = {published}, tppubtype = {article} } This work presents a multiperiod optimization model for multiproduct batch plants operating during several time periods with different characteristics because of seasonal and market fluctuations. This model simultaneously considers decisions about the design, operation, scheduling, and planning of the plant and the corresponding tradeoffs among them. Thus, decomposition mechanisms, which have been frequently used in previous approaches, are avoided through a formulation that takes into account the main elements of these problems. Besides, decisions are affected by different context conditions arisen by the multiperiod effect. Through a mixed integer nonlinear program, different alternatives of mixed production campaign are considered, handled by means of a novel set of scheduling constraints. This approach is posed for a fermen- tors network with high detail level in the description of the unit operations in a plant that produces yeast and ethanol. © 2009 American Institute of Chemical Engineers. |
M.S. Moreno, J.M. Montagna A multiperiod model for production planning and design in a multiproduct batch environment (Artículo de revista) Mathematical and Computer Modelling, 49 (7-8), pp. 1372-1385, 2009, (cited By 3). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Moreno20091372, title = {A multiperiod model for production planning and design in a multiproduct batch environment}, author = { M.S. Moreno and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-60949112782&partnerID=40&md5=61b3dd2414a570ec6c3dd11beea16381}, doi = {10.1016/j.mcm.2008.11.004}, year = {2009}, date = {2009-01-01}, journal = {Mathematical and Computer Modelling}, volume = {49}, number = {7-8}, pages = {1372-1385}, abstract = {A general multiperiod model to optimize simultaneously production planning and design decisions applied to multiproduct batch plants is proposed. This model includes deterministic seasonal variations of costs, prices, demands and supplies. The overall problem is formulated as a mixed-integer linear programming model by applying appropriate linearizations of non-linear terms. The performance criterion is to maximize the net present value of the profit, which comprises sales, investment, inventories, waste disposal and resources costs, and a penalty term accounting for late deliveries. A noteworthy feature of this approach is the selection of unit dimensions from the available discrete sizes, following the usual procurement policy in this area. The model simultaneously calculates the plant structure (parallel units in every stage, and allocation of intermediate storage tanks), and unit sizes, as well as the production planning decisions in each period (stocks of both product and raw materials, production plans, policies of sales and procurement, etc.). © 2009 Elsevier Ltd. All rights reserved.}, note = {cited By 3}, keywords = {}, pubstate = {published}, tppubtype = {article} } A general multiperiod model to optimize simultaneously production planning and design decisions applied to multiproduct batch plants is proposed. This model includes deterministic seasonal variations of costs, prices, demands and supplies. The overall problem is formulated as a mixed-integer linear programming model by applying appropriate linearizations of non-linear terms. The performance criterion is to maximize the net present value of the profit, which comprises sales, investment, inventories, waste disposal and resources costs, and a penalty term accounting for late deliveries. A noteworthy feature of this approach is the selection of unit dimensions from the available discrete sizes, following the usual procurement policy in this area. The model simultaneously calculates the plant structure (parallel units in every stage, and allocation of intermediate storage tanks), and unit sizes, as well as the production planning decisions in each period (stocks of both product and raw materials, production plans, policies of sales and procurement, etc.). © 2009 Elsevier Ltd. All rights reserved. |
M.S. Moreno, O.A. Iribarren, J.M. Montagna Design of multiproduct batch plants with units in series including process performance models (Artículo de revista) Industrial and Engineering Chemistry Research, 48 (5), pp. 2634-2645, 2009, (cited By 4). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Moreno20092634, title = {Design of multiproduct batch plants with units in series including process performance models}, author = { M.S. Moreno and O.A. Iribarren and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-65349083851&partnerID=40&md5=9b6a129c549cf1e8c2f9e0059f6b5aa2}, doi = {10.1021/ie801203c}, year = {2009}, date = {2009-01-01}, journal = {Industrial and Engineering Chemistry Research}, volume = {48}, number = {5}, pages = {2634-2645}, abstract = {This work deals with the simultaneous optimization of process decision variables and the structure of multiproduct batch plants considering the duplication of units in series to perform a given unit operation. Performance process models allow expressing the size and time factors of the posynomial formulation as a function of the process variables with the highest impact on costs. They are added into the design problem and handled as extra constraints. Structural alternatives for the plant were defined in order to include the duplication of units in series. Thus, the problem is formulated as an optimization problem, using mixed integer nonlinear programming to minimize the total cost of the process, subjected to design specifications. The model application is illustrated with a process for the production of oleoresins. The convenience of including the duplication in series together with process variables in process optimization is tested through the resolution of various problem cases. © 2009 American Chemical Society.}, note = {cited By 4}, keywords = {}, pubstate = {published}, tppubtype = {article} } This work deals with the simultaneous optimization of process decision variables and the structure of multiproduct batch plants considering the duplication of units in series to perform a given unit operation. Performance process models allow expressing the size and time factors of the posynomial formulation as a function of the process variables with the highest impact on costs. They are added into the design problem and handled as extra constraints. Structural alternatives for the plant were defined in order to include the duplication of units in series. Thus, the problem is formulated as an optimization problem, using mixed integer nonlinear programming to minimize the total cost of the process, subjected to design specifications. The model application is illustrated with a process for the production of oleoresins. The convenience of including the duplication in series together with process variables in process optimization is tested through the resolution of various problem cases. © 2009 American Chemical Society. |
P.E. Colla, J.M. Montagna Evaluation of software process improvement in small organizations (Artículo de revista) Lecture Notes in Business Information Processing, 16 LNBIP , pp. 59-72, 2009, (cited By 0). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Colla200959, title = {Evaluation of software process improvement in small organizations}, author = { P.E. Colla and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84876221857&partnerID=40&md5=78f191db17058c80cab967c4f4db5cc6}, doi = {10.1007/978-3-642-01856-5_5}, year = {2009}, date = {2009-01-01}, journal = {Lecture Notes in Business Information Processing}, volume = {16 LNBIP}, pages = {59-72}, abstract = {At the domestic and regional level most organizations willing to participate in software development projects at international off-shore markets operates at small or medium organizational sizes and therefore isn't included by the organizational scales referred at the typical SPI bibliography. A systemic model is then implemented aiming to get an initial understanding over the behavior of the different variables involved, their contribution to the improvement effort, outcome sensibility to model parameters, the systemic relations at large and the limits derived from the holistic interaction of all. © 2009 Springer-Verlag Berlin Heidelberg.}, note = {cited By 0}, keywords = {}, pubstate = {published}, tppubtype = {article} } At the domestic and regional level most organizations willing to participate in software development projects at international off-shore markets operates at small or medium organizational sizes and therefore isn't included by the organizational scales referred at the typical SPI bibliography. A systemic model is then implemented aiming to get an initial understanding over the behavior of the different variables involved, their contribution to the improvement effort, outcome sensibility to model parameters, the systemic relations at large and the limits derived from the holistic interaction of all. © 2009 Springer-Verlag Berlin Heidelberg. |
M.S. Moreno, O.A. Iribarren, J.M. Montagna Optimal design of multiproduct batch plants considering duplication of units in series (Artículo de revista) Chemical Engineering Research and Design, 87 (11), pp. 1497-1508, 2009, (cited By 3). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Moreno20091497, title = {Optimal design of multiproduct batch plants considering duplication of units in series}, author = { M.S. Moreno and O.A. Iribarren and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-74249114370&partnerID=40&md5=951398eff354af46e5a49a6c3fee69b6}, doi = {10.1016/j.cherd.2009.04.014}, year = {2009}, date = {2009-01-01}, journal = {Chemical Engineering Research and Design}, volume = {87}, number = {11}, pages = {1497-1508}, abstract = {A generalized disjunctive programming (GDP) model for the optimal design of multiproduct batch plants is presented. This general model manages the duplication of units in series to perform a given operation in the process, which is an alternative that has not been considered in previous general approaches. Unlike duplication in parallel, duplication in series is only applicable to some operations which present trade-offs between duplication and other cost-impacting elements in the batch process. In order to use a fixed time and size factor model some assumptions had to be made in the operations that allow the duplication in series. To show the effectiveness of this approach, a plant that produces multiple recombinant proteins is presented and solved. © 2009 The Institution of Chemical Engineers.}, note = {cited By 3}, keywords = {}, pubstate = {published}, tppubtype = {article} } A generalized disjunctive programming (GDP) model for the optimal design of multiproduct batch plants is presented. This general model manages the duplication of units in series to perform a given operation in the process, which is an alternative that has not been considered in previous general approaches. Unlike duplication in parallel, duplication in series is only applicable to some operations which present trade-offs between duplication and other cost-impacting elements in the batch process. In order to use a fixed time and size factor model some assumptions had to be made in the operations that allow the duplication in series. To show the effectiveness of this approach, a plant that produces multiple recombinant proteins is presented and solved. © 2009 The Institution of Chemical Engineers. |
2008 |
L.C. Ballejos, J.M. Montagna Method for stakeholder identification in interorganizational environments (Artículo de revista) Requirements Engineering, 13 (4), pp. 281-297, 2008, (cited By 21). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Ballejos2008281, title = {Method for stakeholder identification in interorganizational environments}, author = { L.C. Ballejos and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-54249131107&partnerID=40&md5=9c47c3ca906d2e48239e4550de54e7e4}, doi = {10.1007/s00766-008-0069-1}, year = {2008}, date = {2008-01-01}, journal = {Requirements Engineering}, volume = {13}, number = {4}, pages = {281-297}, abstract = {Stakeholders are the first emerging challenge in any software project. Their identification is a critical task for success. Nevertheless, many authors consider them as a default product of a non-explained identification process. Several aspects must be considered when the project is carried out in environments where multiple organizations interact. These complex contexts demand extremely hard efforts. Stakeholders must be identified taking into account their attributes (types, roles), which must be extended and defined for these environments. In general, there are no methodologies that allow performing this task in a systematic way for the development of interorganizational information systems. The paper proposes a method for carrying out stakeholder identification considering the diverse dimensions involved in interorganizational environments: organizational, interorganizational and external. It allows the systematic specification of all the people, groups and organizations whose interests and needs can affect or are affected by the interorganizational system. Also diverse stakeholders' attributes such as types, roles, influence and interest are defined, analyzed, and included in the method. They are all important in later stages of any software project. © Springer-Verlag London Limited 2008.}, note = {cited By 21}, keywords = {}, pubstate = {published}, tppubtype = {article} } Stakeholders are the first emerging challenge in any software project. Their identification is a critical task for success. Nevertheless, many authors consider them as a default product of a non-explained identification process. Several aspects must be considered when the project is carried out in environments where multiple organizations interact. These complex contexts demand extremely hard efforts. Stakeholders must be identified taking into account their attributes (types, roles), which must be extended and defined for these environments. In general, there are no methodologies that allow performing this task in a systematic way for the development of interorganizational information systems. The paper proposes a method for carrying out stakeholder identification considering the diverse dimensions involved in interorganizational environments: organizational, interorganizational and external. It allows the systematic specification of all the people, groups and organizations whose interests and needs can affect or are affected by the interorganizational system. Also diverse stakeholders' attributes such as types, roles, influence and interest are defined, analyzed, and included in the method. They are all important in later stages of any software project. © Springer-Verlag London Limited 2008. |
P.E. Colla, J.M. Montagna Framework to evaluate software process improvement in small organizations (Artículo de revista) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5007 LNCS , pp. 36-50, 2008, (cited By 4). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Colla200836, title = {Framework to evaluate software process improvement in small organizations}, author = { P.E. Colla and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-44649104424&partnerID=40&md5=9528ab404124d014161e49b74fdb0c5f}, doi = {10.1007/978-3-540-79588-9_5}, year = {2008}, date = {2008-01-01}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {5007 LNCS}, pages = {36-50}, abstract = {Organizations of all sizes understand the benefits to consider Software Process Improvements (SPI) investments, still many of them and in particular the smaller ones are reluctant to embrace this kind of initiatives. A systemic model is presented in this article as a tool aiming aiming to provide an initial understanding over the behavior of the different organizational variables involved and their complex interactions within a SPI effort, their contribution to the improvement effort, the resulting value sensitivity to model parameters, the systemic relations at large and the limits derived from the holistic interaction of all in order to be used as a scenario analysis tool to identify the SPI strategies which best suit a given organization business context thru the maximization of the value obtained from the investment. © 2008 Springer-Verlag Berlin Heidelberg.}, note = {cited By 4}, keywords = {}, pubstate = {published}, tppubtype = {article} } Organizations of all sizes understand the benefits to consider Software Process Improvements (SPI) investments, still many of them and in particular the smaller ones are reluctant to embrace this kind of initiatives. A systemic model is presented in this article as a tool aiming aiming to provide an initial understanding over the behavior of the different organizational variables involved and their complex interactions within a SPI effort, their contribution to the improvement effort, the resulting value sensitivity to model parameters, the systemic relations at large and the limits derived from the holistic interaction of all in order to be used as a scenario analysis tool to identify the SPI strategies which best suit a given organization business context thru the maximization of the value obtained from the investment. © 2008 Springer-Verlag Berlin Heidelberg. |
L.C. Ballejos, S. Gonnet, J.M. Montagna A stakeholder model for interorganizational information systems (Artículo de revista) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5025 LNCS , pp. 73-87, 2008, (cited By 4). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Ballejos200873, title = {A stakeholder model for interorganizational information systems}, author = { L.C. Ballejos and S. Gonnet and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-45849136395&partnerID=40&md5=08f4a1d6127fd646146df48821ced789}, doi = {10.1007/978-3-540-69062-7_7}, year = {2008}, date = {2008-01-01}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {5025 LNCS}, pages = {73-87}, abstract = {Stakeholders constitute the principal source of requirements in the development of information systems. They therefore must be considered allover the process. In order to achieve success, they must be also modelled and then integrated with requirements, design and implementation models. Thus, a more complete perspective is added to traditional modelling. This work presents and describes a stakeholder model for interorganizational information systems, in order to incorporate a stakeholders-including approach to traditional modelling, focusing on interorganizational environments. © 2008 Springer-Verlag Berlin Heidelberg.}, note = {cited By 4}, keywords = {}, pubstate = {published}, tppubtype = {article} } Stakeholders constitute the principal source of requirements in the development of information systems. They therefore must be considered allover the process. In order to achieve success, they must be also modelled and then integrated with requirements, design and implementation models. Thus, a more complete perspective is added to traditional modelling. This work presents and describes a stakeholder model for interorganizational information systems, in order to incorporate a stakeholders-including approach to traditional modelling, focusing on interorganizational environments. © 2008 Springer-Verlag Berlin Heidelberg. |
2007 |
G. Corsano, J.M. Montagna, P.A. Aguirre Design and planning optimization of multiplant complexes in the food industry (Artículo de revista) Food and Bioproducts Processing, 85 (4 C), pp. 381-388, 2007, (cited By 2). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano2007381, title = {Design and planning optimization of multiplant complexes in the food industry}, author = { G. Corsano and J.M. Montagna and P.A. Aguirre}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-38349192030&partnerID=40&md5=1c3b3f22e79777118c5b535758b1c746}, doi = {10.1205/fbp07072}, year = {2007}, date = {2007-01-01}, journal = {Food and Bioproducts Processing}, volume = {85}, number = {4 C}, pages = {381-388}, abstract = {Multiplant complexes are very common in food industry because residues from one plant become raw materials for others, or several plants can use the same raw material or power resource that comes from a plant inside the complex. The integration problem between several plants that produce different products and share diverse resources among them poses significant challenges. In this work, a detailed non linear programming (NLP) model for the design of a multiplant complex is developed considering the integration between plants simultaneously with the optimal operation and production planning of each plant of the multiplant complex. The simultaneous optimization establishes different trade-offs between design, operation, and production planning decisions which are analysed in this paper. In the food industry raw materials availability, product prices, demands and other seasonal matters can vary throughout the production time horizon. For this reason, a multiperiod model is presented in which design and planning decisions have to be adjusted to the posed seasonal scenario. Several cases are presented which correspond to different scenarios. For each case, a detailed analysis of each plant solution and their integration is made. © 2007 Institution of Chemical Engineers.}, note = {cited By 2}, keywords = {}, pubstate = {published}, tppubtype = {article} } Multiplant complexes are very common in food industry because residues from one plant become raw materials for others, or several plants can use the same raw material or power resource that comes from a plant inside the complex. The integration problem between several plants that produce different products and share diverse resources among them poses significant challenges. In this work, a detailed non linear programming (NLP) model for the design of a multiplant complex is developed considering the integration between plants simultaneously with the optimal operation and production planning of each plant of the multiplant complex. The simultaneous optimization establishes different trade-offs between design, operation, and production planning decisions which are analysed in this paper. In the food industry raw materials availability, product prices, demands and other seasonal matters can vary throughout the production time horizon. For this reason, a multiperiod model is presented in which design and planning decisions have to be adjusted to the posed seasonal scenario. Several cases are presented which correspond to different scenarios. For each case, a detailed analysis of each plant solution and their integration is made. © 2007 Institution of Chemical Engineers. |
M.S. Moreno, J.M. Montagna Optimal simultaneous design and operational planning of vegetable extraction processes (Artículo de revista) Food and Bioproducts Processing, 85 (4 C), pp. 360-371, 2007, (cited By 7). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Moreno2007360, title = {Optimal simultaneous design and operational planning of vegetable extraction processes}, author = { M.S. Moreno and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-38349109652&partnerID=40&md5=1cd3bf17e0de77f7e5828f9e4a547004}, doi = {10.1205/fbp07069}, year = {2007}, date = {2007-01-01}, journal = {Food and Bioproducts Processing}, volume = {85}, number = {4 C}, pages = {360-371}, abstract = {A general multiperiod linear optimization model is proposed in this study that targets the simultaneous design and operation planning decisions of a multiproduct batch plant for the production of vegetable extracts. A multiperiod environment is considered because of the market and/or seasonal fluctuations. Thereby, the model considers changes from period to period of demands, costs, prices and raw materials supplies. The objective function maximizes the net present value of the profit considering incomes, investments and resources costs, and both product and raw material inventory costs. In the plant design problem, the sequence of operations is already defined and the pursued goal is to determine both unit sizes and its configuration in the plant. Besides the usual duplication in parallel option, a novel design alternative is included which allows adding units in series to perform a given operation. The optimal design is determined by taking into account available discrete sizes of units which corresponds to the real procurement of equipments. The model is formulated by using the linear generalized disjunctive programming (LGDP). A particular plant that produces oleoresins (solvent extracts of herbs and spices) is used to illustrate the proposed approach. Nevertheless, the developed model is general and can thus be applied to any vegetable extraction process. © 2007 Institution of Chemical Engineers.}, note = {cited By 7}, keywords = {}, pubstate = {published}, tppubtype = {article} } A general multiperiod linear optimization model is proposed in this study that targets the simultaneous design and operation planning decisions of a multiproduct batch plant for the production of vegetable extracts. A multiperiod environment is considered because of the market and/or seasonal fluctuations. Thereby, the model considers changes from period to period of demands, costs, prices and raw materials supplies. The objective function maximizes the net present value of the profit considering incomes, investments and resources costs, and both product and raw material inventory costs. In the plant design problem, the sequence of operations is already defined and the pursued goal is to determine both unit sizes and its configuration in the plant. Besides the usual duplication in parallel option, a novel design alternative is included which allows adding units in series to perform a given operation. The optimal design is determined by taking into account available discrete sizes of units which corresponds to the real procurement of equipments. The model is formulated by using the linear generalized disjunctive programming (LGDP). A particular plant that produces oleoresins (solvent extracts of herbs and spices) is used to illustrate the proposed approach. Nevertheless, the developed model is general and can thus be applied to any vegetable extraction process. © 2007 Institution of Chemical Engineers. |
G. Corsano, J.M. Montagna, O.A. Iribarren, P.A. Aguirre Heuristic method for the optimal synthesis and design of batch plants considering mixed product campaigns (Artículo de revista) Industrial and Engineering Chemistry Research, 46 (9), pp. 2769-2780, 2007, (cited By 12). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano20072769, title = {Heuristic method for the optimal synthesis and design of batch plants considering mixed product campaigns}, author = { G. Corsano and J.M. Montagna and O.A. Iribarren and P.A. Aguirre}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-34248332572&partnerID=40&md5=ffd29680df1cf00ca3976fba3079e9f7}, doi = {10.1021/ie0608049}, year = {2007}, date = {2007-01-01}, journal = {Industrial and Engineering Chemistry Research}, volume = {46}, number = {9}, pages = {2769-2780}, abstract = {In this paper, a heuristic method is presented for the simultaneous solution of the synthesis and design problems of batch plants. A detailed nonlinear program (NLP) model is developed that considers a superstructure to represent all the configuration options for the plants. Usually, similar works in this area assume as a hard constraint the use of single-product campaigns. In this work, mixed campaigns are introduced to pose problems where this is a significant condition. Specific scheduling constraints are formulated, and a resolution strategy is presented to solve the problem. This formulation is valid for multiproduct batch plants and a special type of multipurpose plants where products follow different production paths sharing some but not all the stages. The approach is implemented for a Torula yeast, brandy, and bakery yeast production plant. To assess the method, different mixed campaigns are modeled. Economical and synthesis, design, and operational results are also reported. © 2007 American Chemical Society.}, note = {cited By 12}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this paper, a heuristic method is presented for the simultaneous solution of the synthesis and design problems of batch plants. A detailed nonlinear program (NLP) model is developed that considers a superstructure to represent all the configuration options for the plants. Usually, similar works in this area assume as a hard constraint the use of single-product campaigns. In this work, mixed campaigns are introduced to pose problems where this is a significant condition. Specific scheduling constraints are formulated, and a resolution strategy is presented to solve the problem. This formulation is valid for multiproduct batch plants and a special type of multipurpose plants where products follow different production paths sharing some but not all the stages. The approach is implemented for a Torula yeast, brandy, and bakery yeast production plant. To assess the method, different mixed campaigns are modeled. Economical and synthesis, design, and operational results are also reported. © 2007 American Chemical Society. |
M.S. Moreno, J.M. Montagna, O.A. Iribarren Multiperiod optimization for the design and planning of multiproduct batch plants (Artículo de revista) Computers and Chemical Engineering, 31 (9), pp. 1159-1173, 2007, (cited By 11). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Moreno20071159, title = {Multiperiod optimization for the design and planning of multiproduct batch plants}, author = { M.S. Moreno and J.M. Montagna and O.A. Iribarren}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-34249054749&partnerID=40&md5=1f44e55809c656c4f2e9fde4ca78c4ae}, doi = {10.1016/j.compchemeng.2006.10.003}, year = {2007}, date = {2007-01-01}, journal = {Computers and Chemical Engineering}, volume = {31}, number = {9}, pages = {1159-1173}, abstract = {This paper presents a general multiperiod optimization model, which simultaneously solves the design and planning decisions in multiproduct batch plants. Therefore, the trade-offs between both problems are taken into account as well as variations due to seasonal effects, demand patterns, etc. From the design point of view, the model is formulated considering batch and semicontinuous units, the allocation of intermediate storage, and structural decisions. Following the usual procurement policy, equipment is provided using discrete sizes. From the planning point of view, the formulation takes into account both products and raw materials inventories, product demands and raw materials supplies that vary seasonally in a multiperiod approach. The objective is the maximization of an economic function, which considers incomes, and both investment and operation costs. A plant that produces five oleoresins in seven stages is used to illustrate this approach. © 2006 Elsevier Ltd. All rights reserved.}, note = {cited By 11}, keywords = {}, pubstate = {published}, tppubtype = {article} } This paper presents a general multiperiod optimization model, which simultaneously solves the design and planning decisions in multiproduct batch plants. Therefore, the trade-offs between both problems are taken into account as well as variations due to seasonal effects, demand patterns, etc. From the design point of view, the model is formulated considering batch and semicontinuous units, the allocation of intermediate storage, and structural decisions. Following the usual procurement policy, equipment is provided using discrete sizes. From the planning point of view, the formulation takes into account both products and raw materials inventories, product demands and raw materials supplies that vary seasonally in a multiperiod approach. The objective is the maximization of an economic function, which considers incomes, and both investment and operation costs. A plant that produces five oleoresins in seven stages is used to illustrate this approach. © 2006 Elsevier Ltd. All rights reserved. |
M.S. Moreno, J.M. Montagna New alternatives in the design and planning of multiproduct batch plants in a multiperiod scenario (Artículo de revista) Industrial and Engineering Chemistry Research, 46 (17), pp. 5645-5658, 2007, (cited By 4). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Moreno20075645, title = {New alternatives in the design and planning of multiproduct batch plants in a multiperiod scenario}, author = { M.S. Moreno and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-34548243245&partnerID=40&md5=6f32e54263af698a1a4f83e2a0cee550}, doi = {10.1021/ie070022v}, year = {2007}, date = {2007-01-01}, journal = {Industrial and Engineering Chemistry Research}, volume = {46}, number = {17}, pages = {5645-5658}, abstract = {New alternatives for the simultaneous design and planning of multiproduct batch plants in a multiperiod scenario are presented in this article. This formulation allows the flexible configuration of the plant in every time period for each product considering the assignment of parallel units of different sizes operating either in-phase or out-of-phase. Capacity expansion during the time horizon is also allowed in order to satisfy new variable requirements. For each batch stage, following the usual procurement policy, units are selected from a set of standard and discrete sizes that are available to perform each operation. The model is formulated through a mixed-integer linear programming (MILP) formulation that maximizes the net present value of profit. From the planning point of view, product sales, raw materials purchases, inventories, waste disposal, and late deliveries are taken into account. Thus, this model simultaneously solves both design and production planning for given forecasts of product demands and pricing in each time period. © 2007 American Chemical Society.}, note = {cited By 4}, keywords = {}, pubstate = {published}, tppubtype = {article} } New alternatives for the simultaneous design and planning of multiproduct batch plants in a multiperiod scenario are presented in this article. This formulation allows the flexible configuration of the plant in every time period for each product considering the assignment of parallel units of different sizes operating either in-phase or out-of-phase. Capacity expansion during the time horizon is also allowed in order to satisfy new variable requirements. For each batch stage, following the usual procurement policy, units are selected from a set of standard and discrete sizes that are available to perform each operation. The model is formulated through a mixed-integer linear programming (MILP) formulation that maximizes the net present value of profit. From the planning point of view, product sales, raw materials purchases, inventories, waste disposal, and late deliveries are taken into account. Thus, this model simultaneously solves both design and production planning for given forecasts of product demands and pricing in each time period. © 2007 American Chemical Society. |
2006 |
L.C. Ballejos, J.M. Montagna Stakeholders selection for interorganizational systems: A systematic approach (Artículo de revista) IFIP International Federation for Information Processing, 214 , pp. 39-50, 2006, (cited By 3). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Ballejos200639, title = {Stakeholders selection for interorganizational systems: A systematic approach}, author = { L.C. Ballejos and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33845255255&partnerID=40&md5=273a1856fbaf07cfb7073011cfd158c9}, doi = {10.1007/978-0-387-34732-5_4}, year = {2006}, date = {2006-01-01}, journal = {IFIP International Federation for Information Processing}, volume = {214}, pages = {39-50}, abstract = {Stakeholders identification is a critical task for successful software projects. In general, there are no methodologies that allow performing it in a systematic way. Besides, several facts must be analyzed when the project is carried out in a context formed by multiple organizations. The complexity of these environments makes the task extremely hard. To face these difficulties, stakeholders are defined and analyzed taking into account the characteristics of the interorganizational dimension. Also a methodology is proposed for canying out their identification that allows systematically specifying all people, groups and organizations whose interests and needs are affected by the information system in all the involved dimensions. © 2006 International Federation for Information Processing.}, note = {cited By 3}, keywords = {}, pubstate = {published}, tppubtype = {article} } Stakeholders identification is a critical task for successful software projects. In general, there are no methodologies that allow performing it in a systematic way. Besides, several facts must be analyzed when the project is carried out in a context formed by multiple organizations. The complexity of these environments makes the task extremely hard. To face these difficulties, stakeholders are defined and analyzed taking into account the characteristics of the interorganizational dimension. Also a methodology is proposed for canying out their identification that allows systematically specifying all people, groups and organizations whose interests and needs are affected by the information system in all the involved dimensions. © 2006 International Federation for Information Processing. |
G. Corsano, J.M. Montagna, O.A. Iribarren, P.A. Aguirre Design and operation issues using NLP superstructure modeling (Artículo de revista) Applied Mathematical Modelling, 30 (9), pp. 974-992, 2006, (cited By 3). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano2006974, title = {Design and operation issues using NLP superstructure modeling}, author = { G. Corsano and J.M. Montagna and O.A. Iribarren and P.A. Aguirre}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33745150765&partnerID=40&md5=b33a361eeb22f3422cff2fe0f5ea4491}, doi = {10.1016/j.apm.2005.07.003}, year = {2006}, date = {2006-01-01}, journal = {Applied Mathematical Modelling}, volume = {30}, number = {9}, pages = {974-992}, abstract = {Till present, models that determined batch plants configurations in the chemical process industry resorted to models with binary variables to represent the different admissible options. This approach allowed representing the problem in a simple way while considering a significant number of alternatives. Nevertheless, the non-convexity that arises when dealing with detailed models for representing the involved units operation prevents its correct resolution or has a low performance. This work presents a representation of the problem through a superstructure that takes explicitly into account all the alternatives without resorting to binary variables. By using extremely simple modeling, it is possible to manage an appropriate number of options for this type of problems by means of a non-linear programming (NLP) model. Moreover, it is possible to consider duplication in series of production stages, which is an alternative that has not been used till now. This approach is posed for the case of a fermentors network. The solution is reached with very low requirements as regards employed computer time and without the aforementioned difficulties. © 2005 Elsevier Inc. All rights reserved.}, note = {cited By 3}, keywords = {}, pubstate = {published}, tppubtype = {article} } Till present, models that determined batch plants configurations in the chemical process industry resorted to models with binary variables to represent the different admissible options. This approach allowed representing the problem in a simple way while considering a significant number of alternatives. Nevertheless, the non-convexity that arises when dealing with detailed models for representing the involved units operation prevents its correct resolution or has a low performance. This work presents a representation of the problem through a superstructure that takes explicitly into account all the alternatives without resorting to binary variables. By using extremely simple modeling, it is possible to manage an appropriate number of options for this type of problems by means of a non-linear programming (NLP) model. Moreover, it is possible to consider duplication in series of production stages, which is an alternative that has not been used till now. This approach is posed for the case of a fermentors network. The solution is reached with very low requirements as regards employed computer time and without the aforementioned difficulties. © 2005 Elsevier Inc. All rights reserved. |
G. Corsano, O.A. Iribarren, J.M. Montagna, P.A. Aguirre, E.G. Suarez Economic tradeoffs involved in the design of fermentation processes with environmental constraints (Artículo de revista) Chemical Engineering Research and Design, 84 (10 A), pp. 932-942, 2006, (cited By 7). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano2006932, title = {Economic tradeoffs involved in the design of fermentation processes with environmental constraints}, author = { G. Corsano and O.A. Iribarren and J.M. Montagna and P.A. Aguirre and E.G. Suarez}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33750526419&partnerID=40&md5=dfa4c8b92924fde35991c3dacb666e07}, doi = {10.1205/cherd06016}, year = {2006}, date = {2006-01-01}, journal = {Chemical Engineering Research and Design}, volume = {84}, number = {10 A}, pages = {932-942}, abstract = {A process model is used for analysing the economic tradeoffs involved in the synthesis, design and operation of a typical batch fermentation plant involving batch and semi-continuous operations with the recycle of the otherwise waste stream that results after the recovery of the product of interest from the fermentation broth. This recycle contributes to a more complete substrate consumption, water reuse and reduction of the environmental impact of the process. Process variables are optimized simultaneously with the plant structure by formulating the whole optimization problem as a non linear programme (NLP). The environmental concern about producing large amounts of fermentation broth waste was accounted for by penalizing its production combined with allowing their recycle to the different types of fermenters based on process considerations. Optimal design and operation are pursued, analysing the economic tradeoffs involved in selecting the number and operation mode of biomass grow and metabolite fermenters, sugar substrate blending to each fermenter, recycle of fermentation broth waste, initial and final concentrations of biomass, substrate and metabolite, and the role of idle times in the process. The paper reports some optimal plant structures and figures for process variables not implemented in industrial practices but supported by process analysis arguments, thus suggesting that they may be worth exploring. © 2006 Institution of Chemical Engineers.}, note = {cited By 7}, keywords = {}, pubstate = {published}, tppubtype = {article} } A process model is used for analysing the economic tradeoffs involved in the synthesis, design and operation of a typical batch fermentation plant involving batch and semi-continuous operations with the recycle of the otherwise waste stream that results after the recovery of the product of interest from the fermentation broth. This recycle contributes to a more complete substrate consumption, water reuse and reduction of the environmental impact of the process. Process variables are optimized simultaneously with the plant structure by formulating the whole optimization problem as a non linear programme (NLP). The environmental concern about producing large amounts of fermentation broth waste was accounted for by penalizing its production combined with allowing their recycle to the different types of fermenters based on process considerations. Optimal design and operation are pursued, analysing the economic tradeoffs involved in selecting the number and operation mode of biomass grow and metabolite fermenters, sugar substrate blending to each fermenter, recycle of fermentation broth waste, initial and final concentrations of biomass, substrate and metabolite, and the role of idle times in the process. The paper reports some optimal plant structures and figures for process variables not implemented in industrial practices but supported by process analysis arguments, thus suggesting that they may be worth exploring. © 2006 Institution of Chemical Engineers. |
G. Corsano, J.M. Montagna, O.A. Iribarren, P.A. Aguirre Processes integration: Multiplant complex vs multipurpose plant assessment (Artículo de revista) Industrial and Engineering Chemistry Research, 45 (12), pp. 4256-4269, 2006, (cited By 2). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano20064256, title = {Processes integration: Multiplant complex vs multipurpose plant assessment}, author = { G. Corsano and J.M. Montagna and O.A. Iribarren and P.A. Aguirre}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33745670883&partnerID=40&md5=526d2d3509967c70ddb930aeed3e2256}, doi = {10.1021/ie051454d}, year = {2006}, date = {2006-01-01}, journal = {Industrial and Engineering Chemistry Research}, volume = {45}, number = {12}, pages = {4256-4269}, abstract = {This paper presents a tool for the generation and evaluation of different alternatives of product production. The importance of this approach lies in the integration of synthesis, design, operation, and scheduling decisions. When simultaneously approached, these decisions allow consideration of the relationships and effects between critical elements of the problem that are usually analyzed sequentially. Two different scenarios are modeled in order to evaluate and select which production process is convenient to develop: multipurpose plant and multiplant complex with single-product batch plants. The methodology is illustrated by an industrially motivated case study involving the production of three products: torula yeast, bakery yeast, and brandy. According to different production conditions, both scenarios are solved, and the analysis and conclusions with regards to the most favorable production scheme are reported. © 2006 American Chemical Society.}, note = {cited By 2}, keywords = {}, pubstate = {published}, tppubtype = {article} } This paper presents a tool for the generation and evaluation of different alternatives of product production. The importance of this approach lies in the integration of synthesis, design, operation, and scheduling decisions. When simultaneously approached, these decisions allow consideration of the relationships and effects between critical elements of the problem that are usually analyzed sequentially. Two different scenarios are modeled in order to evaluate and select which production process is convenient to develop: multipurpose plant and multiplant complex with single-product batch plants. The methodology is illustrated by an industrially motivated case study involving the production of three products: torula yeast, bakery yeast, and brandy. According to different production conditions, both scenarios are solved, and the analysis and conclusions with regards to the most favorable production scheme are reported. © 2006 American Chemical Society. |
R.L. Martin, J.M. Montagna Business process reengineering role in electronic government (Artículo de revista) IFIP International Federation for Information Processing, 214 , pp. 77-88, 2006, (cited By 1). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Martin200677, title = {Business process reengineering role in electronic government}, author = { R.L. Martin and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33845274509&partnerID=40&md5=5de75ca4c6450881d9116bcac8cedb1c}, doi = {10.1007/978-0-387-34732-5_8}, year = {2006}, date = {2006-01-01}, journal = {IFIP International Federation for Information Processing}, volume = {214}, pages = {77-88}, abstract = {Business Process Reengineering (BPR) came up as a key concept in the 1990s, with a high impact on management and transactions of private companies. However, it has not been so well accepted in public administration. Nowadays, many projects for changes in government are related to electronic government. According to this, this article discusses the role of BPR in this context, its contribution to this kind of initiative, and if it is a required element to go forward. Also, the difficulties in carrying out the BPR in the particular case of e-government are analyzed, taking into account the characteristics of this kind of project, the stages that are generally involved and the environment in which it is performed. Finally, a basic structure for the development of egovernment is provided, specifying the insertion of BPR for reaching a more efficient, effective and foreseeable management of new projects. © 2006 International Federation for Information Processing.}, note = {cited By 1}, keywords = {}, pubstate = {published}, tppubtype = {article} } Business Process Reengineering (BPR) came up as a key concept in the 1990s, with a high impact on management and transactions of private companies. However, it has not been so well accepted in public administration. Nowadays, many projects for changes in government are related to electronic government. According to this, this article discusses the role of BPR in this context, its contribution to this kind of initiative, and if it is a required element to go forward. Also, the difficulties in carrying out the BPR in the particular case of e-government are analyzed, taking into account the characteristics of this kind of project, the stages that are generally involved and the environment in which it is performed. Finally, a basic structure for the development of egovernment is provided, specifying the insertion of BPR for reaching a more efficient, effective and foreseeable management of new projects. © 2006 International Federation for Information Processing. |
2005 |
J.M. Montagna A framework for the assessment and analysis of electronic government proposals (Artículo de revista) Electronic Commerce Research and Applications, 4 (3), pp. 204-219, 2005, (cited By 50). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Montagna2005204, title = {A framework for the assessment and analysis of electronic government proposals}, author = { J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-23144455215&partnerID=40&md5=6cd7cb4c33ff3ac21afb55c1b9393348}, doi = {10.1016/j.elerap.2005.01.003}, year = {2005}, date = {2005-01-01}, journal = {Electronic Commerce Research and Applications}, volume = {4}, number = {3}, pages = {204-219}, abstract = {Electronic government or e-government arises as the way to integrate all Internet and computer networks potentialities into public administration. However, there are many technical, organizational and institutional elements to be considered when making a decision of this kind. These elements prevent decision makers from quickly and efficiently analyzing the critical points to approve an initiative related to e-government. This work presents basic criteria for evaluating specific projects in the context of an electronic government policy. These criteria give rise to a very simple framework that allows determining the elements that support an e-government proposal for the various alternatives in which it may appear: in relation to citizens, to the business environment, or to other government areas. This work considers the grounds for determining electronic government action performance to assess the advantages and benefits that specific proposals can provide to government and society. © 2005 Elsevier B.V. All rights reserved.}, note = {cited By 50}, keywords = {}, pubstate = {published}, tppubtype = {article} } Electronic government or e-government arises as the way to integrate all Internet and computer networks potentialities into public administration. However, there are many technical, organizational and institutional elements to be considered when making a decision of this kind. These elements prevent decision makers from quickly and efficiently analyzing the critical points to approve an initiative related to e-government. This work presents basic criteria for evaluating specific projects in the context of an electronic government policy. These criteria give rise to a very simple framework that allows determining the elements that support an e-government proposal for the various alternatives in which it may appear: in relation to citizens, to the business environment, or to other government areas. This work considers the grounds for determining electronic government action performance to assess the advantages and benefits that specific proposals can provide to government and society. © 2005 Elsevier B.V. All rights reserved. |
2004 |
J.M. Montagna, O.A. Iribarren, A.R. Vecchietti Synthesis of biotechnological processes using generalized disjunctive programming (Artículo de revista) Industrial and Engineering Chemistry Research, 43 (15), pp. 4220-4232, 2004, (cited By 9). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Montagna20044220, title = {Synthesis of biotechnological processes using generalized disjunctive programming}, author = { J.M. Montagna and O.A. Iribarren and A.R. Vecchietti}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-3242658966&partnerID=40&md5=215ca8693101651cce9ac5bd231a45e5}, year = {2004}, date = {2004-01-01}, journal = {Industrial and Engineering Chemistry Research}, volume = {43}, number = {15}, pages = {4220-4232}, abstract = {This article presents a model for the synthesis of a biotechnological process in which a set of biotechnological products must be elaborated. For each of these products, there is a set of hosts that can be used for production. According to the host selected for each product, there is a different set of stages involved in the process. Furthermore, to carry out the task involved at a particular stage, there are different units that can be selected. Depending on the kind of equipment used, different performances can be obtained in terms of the stage yield, dimension required by the unit, processing time, etc. A generalized disjunctive programming model is formulated to solve this problem. This problem is transformed into an MINLP using either a big-M or convex hull reformulation. Both alternatives are solved, and their performances are evaluated.}, note = {cited By 9}, keywords = {}, pubstate = {published}, tppubtype = {article} } This article presents a model for the synthesis of a biotechnological process in which a set of biotechnological products must be elaborated. For each of these products, there is a set of hosts that can be used for production. According to the host selected for each product, there is a different set of stages involved in the process. Furthermore, to carry out the task involved at a particular stage, there are different units that can be selected. Depending on the kind of equipment used, different performances can be obtained in terms of the stage yield, dimension required by the unit, processing time, etc. A generalized disjunctive programming model is formulated to solve this problem. This problem is transformed into an MINLP using either a big-M or convex hull reformulation. Both alternatives are solved, and their performances are evaluated. |
G. Corsano, P.A. Aguirre, O.A. Iribarren, J.M. Montagna Batch fermentation networks model for optimal synthesis, design, and operation (Artículo de revista) Industrial and Engineering Chemistry Research, 43 (15), pp. 4211-4219, 2004, (cited By 14). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Corsano20044211, title = {Batch fermentation networks model for optimal synthesis, design, and operation}, author = { G. Corsano and P.A. Aguirre and O.A. Iribarren and J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-3242704963&partnerID=40&md5=d057cf8dcf3700033d8ab53b83bc65ce}, year = {2004}, date = {2004-01-01}, journal = {Industrial and Engineering Chemistry Research}, volume = {43}, number = {15}, pages = {4211-4219}, abstract = {This paper addresses an integral optimization of fermentation processes. The behavior of the fermentors is described by a set of algebraic and differential equations written as finite-difference equations in an equation-oriented environment. Unconventional constraints related to the number of batch items and connections among them, detailed kinetic models and operating costs corresponding to inoculum, and different available substrates are included in the model. The optimal number of units to be used in the process, their optimal operation policy (i.e., connected in series or in parallel working out of phase), as well as the optimal volume and operation of each unit, are determined simultaneously. The model is formulated as a sequence of nonlinear programming (NLP) problems.}, note = {cited By 14}, keywords = {}, pubstate = {published}, tppubtype = {article} } This paper addresses an integral optimization of fermentation processes. The behavior of the fermentors is described by a set of algebraic and differential equations written as finite-difference equations in an equation-oriented environment. Unconventional constraints related to the number of batch items and connections among them, detailed kinetic models and operating costs corresponding to inoculum, and different available substrates are included in the model. The optimal number of units to be used in the process, their optimal operation policy (i.e., connected in series or in parallel working out of phase), as well as the optimal volume and operation of each unit, are determined simultaneously. The model is formulated as a sequence of nonlinear programming (NLP) problems. |
O.A. Iribarren, J.M. Montagna, A.R. Vecchietti, B. Andrews, J.A. Asenjo, J.M. Pinto Optimal process synthesis for the production of multiple recombinant proteins (Artículo de revista) Biotechnology Progress, 20 (4), pp. 1032-1043, 2004, (cited By 8). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Iribarren20041032, title = {Optimal process synthesis for the production of multiple recombinant proteins}, author = { O.A. Iribarren and J.M. Montagna and A.R. Vecchietti and B. Andrews and J.A. Asenjo and J.M. Pinto}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-4043173342&partnerID=40&md5=54744e8b510538cbbe553a048d6e2481}, doi = {10.1021/bp034330+}, year = {2004}, date = {2004-01-01}, journal = {Biotechnology Progress}, volume = {20}, number = {4}, pages = {1032-1043}, abstract = {This paper presents a novel solution strategy for the synthesis of multiproduct and multihost protein production processes. There are several possible hosts that may express each of the products, and different downstream processing separation and purification tasks are needed, which in part depend on the host selection. Moreover, alternative unit operations may be available for some of these separation tasks. Finally, these processing units may be arranged in different configurations. A single mixed-integer optimization model represents the different decisions involved in synthesizing a plant for producing multiple proteins. The mathematical model optimizes the profit of the multiproduct plant and allows the decisions to be made simultaneously, namely, the choice of hosts, downstream operations, the configuration and size of units, as well as their scheduling. An example is solved for a plant that must produce four proteins for which there are alternative hosts for their expression (Escherichia coli, Chinese hamster ovary cells, and yeast that, depending on the product, may express it as an extracellular or intracellular protein) that require 15 stages with choices of unit operations as well as in or out of phase operations. Given the very large quantity of novel recombinant proteins for a number of novel therapeutic uses presently being approved or "in the pipeline", multiproduct and multihost recombinant protein production plants have recently been or are being built for the manufacture of these products. The strategy presented in this paper is of crucial value for the optimal utilization of such plants.}, note = {cited By 8}, keywords = {}, pubstate = {published}, tppubtype = {article} } This paper presents a novel solution strategy for the synthesis of multiproduct and multihost protein production processes. There are several possible hosts that may express each of the products, and different downstream processing separation and purification tasks are needed, which in part depend on the host selection. Moreover, alternative unit operations may be available for some of these separation tasks. Finally, these processing units may be arranged in different configurations. A single mixed-integer optimization model represents the different decisions involved in synthesizing a plant for producing multiple proteins. The mathematical model optimizes the profit of the multiproduct plant and allows the decisions to be made simultaneously, namely, the choice of hosts, downstream operations, the configuration and size of units, as well as their scheduling. An example is solved for a plant that must produce four proteins for which there are alternative hosts for their expression (Escherichia coli, Chinese hamster ovary cells, and yeast that, depending on the product, may express it as an extracellular or intracellular protein) that require 15 stages with choices of unit operations as well as in or out of phase operations. Given the very large quantity of novel recombinant proteins for a number of novel therapeutic uses presently being approved or "in the pipeline", multiproduct and multihost recombinant protein production plants have recently been or are being built for the manufacture of these products. The strategy presented in this paper is of crucial value for the optimal utilization of such plants. |
O.A. Iribarren, J.M. Montagna, A.R. Vecchietti, B. Andrews, J.A. Asenjo, J.M. Pinto Optimal Process synthesis for the production of multiple recombinant proteins (Artículo de revista) Computer Aided Chemical Engineering, 18 (C), pp. 427-432, 2004, (cited By 2). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Iribarren2004427, title = {Optimal Process synthesis for the production of multiple recombinant proteins}, author = { O.A. Iribarren and J.M. Montagna and A.R. Vecchietti and B. Andrews and J.A. Asenjo and J.M. Pinto}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77955617569&partnerID=40&md5=32dbd3ea2b692551ac0e74a49b1d19b6}, doi = {10.1016/S1570-7946(04)80137-8}, year = {2004}, date = {2004-01-01}, journal = {Computer Aided Chemical Engineering}, volume = {18}, number = {C}, pages = {427-432}, abstract = {This work presents an optimization model for the synthesis of bioprocesses that contain batch and semi-continuous items that can be duplicated and operated either in or out of phase. The model minimizes the overall plant cost and is composed of sizing and cycle time constraints, multiple-choice constraints for host and stage selection as well as production targets for each product are enforced in the model. Results on a 15-stage plant that processes four products under four different hosts show that the nature of the problem greatly affects host selection, plant structure and selection of unit operations. © 2004 Elsevier B.V. All rights reserved.}, note = {cited By 2}, keywords = {}, pubstate = {published}, tppubtype = {article} } This work presents an optimization model for the synthesis of bioprocesses that contain batch and semi-continuous items that can be duplicated and operated either in or out of phase. The model minimizes the overall plant cost and is composed of sizing and cycle time constraints, multiple-choice constraints for host and stage selection as well as production targets for each product are enforced in the model. Results on a 15-stage plant that processes four products under four different hosts show that the nature of the problem greatly affects host selection, plant structure and selection of unit operations. © 2004 Elsevier B.V. All rights reserved. |
2003 |
J.M. Montagna, A.R. Vecchietti Retrofit of Multiproduct Batch Plants Through Generalized Disjunctive Programming (Artículo de revista) Mathematical and Computer Modelling, 38 (5-6), pp. 465-479, 2003, (cited By 7). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Montagna2003465, title = {Retrofit of Multiproduct Batch Plants Through Generalized Disjunctive Programming}, author = { J.M. Montagna and A.R. Vecchietti}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0142020794&partnerID=40&md5=5d8a752587ba88ab5af57af8397f14c5}, year = {2003}, date = {2003-01-01}, journal = {Mathematical and Computer Modelling}, volume = {38}, number = {5-6}, pages = {465-479}, abstract = {The retrofit problem for multiproduct batch plants deals with the modification of the original structure of the plant to meet new production conditions such as the introduction of new products, a new supply pattern, etc. For this problem, a disjunctive model is presented, which takes into consideration every usual alternative about the configuration of units and storage tanks. A disjunction is generated for that purpose. The selection of one of those alternatives sets up all the corresponding constraints, which are: operation time, unit size and cost, etc. Finally, the performance of this approach is analyzed through the resolution of a set of examples. © 2003 Elsevier Ltd. All rights reserved.}, note = {cited By 7}, keywords = {}, pubstate = {published}, tppubtype = {article} } The retrofit problem for multiproduct batch plants deals with the modification of the original structure of the plant to meet new production conditions such as the introduction of new products, a new supply pattern, etc. For this problem, a disjunctive model is presented, which takes into consideration every usual alternative about the configuration of units and storage tanks. A disjunction is generated for that purpose. The selection of one of those alternatives sets up all the corresponding constraints, which are: operation time, unit size and cost, etc. Finally, the performance of this approach is analyzed through the resolution of a set of examples. © 2003 Elsevier Ltd. All rights reserved. |
J.M. Montagna The optimal retrofit of multiproduct batch plants (Artículo de revista) Computers and Chemical Engineering, 27 (8-9), pp. 1277-1290, 2003, (cited By 11). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Montagna20031277, title = {The optimal retrofit of multiproduct batch plants}, author = { J.M. Montagna}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0041304630&partnerID=40&md5=eea5fb2f7f80e2bf145b0ee445387adb}, doi = {10.1016/S0098-1354(03)00052-8}, year = {2003}, date = {2003-01-01}, journal = {Computers and Chemical Engineering}, volume = {27}, number = {8-9}, pages = {1277-1290}, abstract = {This paper presents new alternatives in the retrofit model of multiproduct batch plants. Besides the duplication of the batch units implemented in previous works, the model considers the inclusion of intermediate storage tanks. These tanks can be plainly added or replace existing units that can be sold. The allocation of intermediate storage tanks is not considered in the previous retrofit works, even if this alternative is not new in the design of multiproduct batch plants. This option allows getting more efficient and real world solutions, although it requires working with a more complex model. © 2003 Elsevier Science Ltd. All rights reserved.}, note = {cited By 11}, keywords = {}, pubstate = {published}, tppubtype = {article} } This paper presents new alternatives in the retrofit model of multiproduct batch plants. Besides the duplication of the batch units implemented in previous works, the model considers the inclusion of intermediate storage tanks. These tanks can be plainly added or replace existing units that can be sold. The allocation of intermediate storage tanks is not considered in the previous retrofit works, even if this alternative is not new in the design of multiproduct batch plants. This option allows getting more efficient and real world solutions, although it requires working with a more complex model. © 2003 Elsevier Science Ltd. All rights reserved. |
2001 |
J.M. Montagna, A.R. Vecchietti, O.A. Iribarren, J.M. Pinto, J.A. Asenjo The role of process variables in the design of multiproduct batch protein production plants (Artículo de revista) Latin American Applied Research, 31 (5), pp. 411-417, 2001, (cited By 0). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Montagna2001411, title = {The role of process variables in the design of multiproduct batch protein production plants}, author = { J.M. Montagna and A.R. Vecchietti and O.A. Iribarren and J.M. Pinto and J.A. Asenjo}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0039250545&partnerID=40&md5=f892cc3c76863d702087714657f2156a}, year = {2001}, date = {2001-01-01}, journal = {Latin American Applied Research}, volume = {31}, number = {5}, pages = {411-417}, abstract = {This work reports findings about the role of process variables in the design of multiproduct batch plants. Unlike continuous processes, batch processes are subject to size and time constraints which depend on the structure of the plant: the number of units at each stage and the provision of intermediate storage. We used simple process performance models (yet involving all the process variables with significant economic impact) to get explicit expressions for these size and time factors. The traditional approach uses fixed size and time factors. So the addition of those expressions to the original fixed factors model, permitted to simultaneously optimize the plant structure and process variables, and study the role of the latter in the design. We found that if the plant structure constraints are isregarded (with a Free Unlimited Storage operating policy), process variables behave just alike in continuous processes. They trade off cost components with the Total Annual Cost being quite insensitive to them in the neighborhood of the optimal solution. As setting the process variables sets the size and time factors, this means that near the optimal set of process variables, cycle times and size factors can be accommodated to the plant structure, with little effect on the cost of equipment.}, note = {cited By 0}, keywords = {}, pubstate = {published}, tppubtype = {article} } This work reports findings about the role of process variables in the design of multiproduct batch plants. Unlike continuous processes, batch processes are subject to size and time constraints which depend on the structure of the plant: the number of units at each stage and the provision of intermediate storage. We used simple process performance models (yet involving all the process variables with significant economic impact) to get explicit expressions for these size and time factors. The traditional approach uses fixed size and time factors. So the addition of those expressions to the original fixed factors model, permitted to simultaneously optimize the plant structure and process variables, and study the role of the latter in the design. We found that if the plant structure constraints are isregarded (with a Free Unlimited Storage operating policy), process variables behave just alike in continuous processes. They trade off cost components with the Total Annual Cost being quite insensitive to them in the neighborhood of the optimal solution. As setting the process variables sets the size and time factors, this means that near the optimal set of process variables, cycle times and size factors can be accommodated to the plant structure, with little effect on the cost of equipment. |
J.M. Pinto, J.A. Asenjo, J.M. Montagna, A.R. Vecchietti, O.A. Iribarren Incorporating process information in the optimal design of biotechnological plants (Artículo de revista) Latin American Applied Research, 31 (5), pp. 487-493, 2001, (cited By 0). (Resumen | Enlaces | BibTeX | Etiquetas: ) @article{Pinto2001487, title = {Incorporating process information in the optimal design of biotechnological plants}, author = { J.M. Pinto and J.A. Asenjo and J.M. Montagna and A.R. Vecchietti and O.A. Iribarren}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0039842225&partnerID=40&md5=9dfa6bb3972ec58855bafa4ab38896a1}, year = {2001}, date = {2001-01-01}, journal = {Latin American Applied Research}, volume = {31}, number = {5}, pages = {487-493}, abstract = {In this work we propose optimization approaches that make use of process information for the design of multiproduct batch plants. First, we develop an optimization model for designing multiproduct batch plants. The plant consists of several parallel stages, which can work either in phase or out-of-phase. Processing times and size factors for each unit of the plant rely on first level of detail posynomial models. A particular feature of these models is that they may contain composite units where semi continuous items operate on the material contained by batch items. Secondly, we propose an approach in which the optimization model includes process performance models for the unit stages and a posynomial model for the multiproduct batch plant. The process performance models define the size and time factors of the posynomial model, as functions of the process variables selected to optimize the plant. These are expressed as algebraic equations obtained from the analytical integration of simplified mass balances and kinetic expressions that describe each unit operation Both approaches result in Mixed Integer Non Linear Programming (MINLP) models. In the first approach, since unit as well as structural plant constraints are posynomial, a convexified MINLP is solved to global optimality The decision variables are the number of parallel units in phase and out of phase and their size at each batch stage, the installation or not of intermediate storage between the batch stages and their size. In the second approach, we simultaneously optimize the structure of the plant, the batch plant decision variables and the process decision variables. A biotechnological plant consisting of eight stages operating in Single Product Campaign mode was modeled and optimized by using both approaches. Using this example, it is shown that the additional degrees of freedom introduced by the process performance models with respect to a fixed size and time factor model has a noticeable impact on improving the plant design.}, note = {cited By 0}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this work we propose optimization approaches that make use of process information for the design of multiproduct batch plants. First, we develop an optimization model for designing multiproduct batch plants. The plant consists of several parallel stages, which can work either in phase or out-of-phase. Processing times and size factors for each unit of the plant rely on first level of detail posynomial models. A particular feature of these models is that they may contain composite units where semi continuous items operate on the material contained by batch items. Secondly, we propose an approach in which the optimization model includes process performance models for the unit stages and a posynomial model for the multiproduct batch plant. The process performance models define the size and time factors of the posynomial model, as functions of the process variables selected to optimize the plant. These are expressed as algebraic equations obtained from the analytical integration of simplified mass balances and kinetic expressions that describe each unit operation Both approaches result in Mixed Integer Non Linear Programming (MINLP) models. In the first approach, since unit as well as structural plant constraints are posynomial, a convexified MINLP is solved to global optimality The decision variables are the number of parallel units in phase and out of phase and their size at each batch stage, the installation or not of intermediate storage between the batch stages and their size. In the second approach, we simultaneously optimize the structure of the plant, the batch plant decision variables and the process decision variables. A biotechnological plant consisting of eight stages operating in Single Product Campaign mode was modeled and optimized by using both approaches. Using this example, it is shown that the additional degrees of freedom introduced by the process performance models with respect to a fixed size and time factor model has a noticeable impact on improving the plant design. |