Producción científica 2025 del Instituto INGAR

Durante el año 2025, los investigadores del Instituto INGAR publicaron diversos artículos científicos en revistas internacionales, reflejo del compromiso continuo con la generación de conocimiento y la innovación en ingeniería de procesos, optimización y tecnologías digitales aplicadas a la industria.

Estas publicaciones abarcan temas como Optimización de Cadenas de Suministro, Sustentabilidad y Transición Energética, Bioprocesos, Bioingeniería, Inteligencia Artificial y Modelado Predictivo, fortaleciendo la presencia del Instituto en la comunidad científica y su aporte al desarrollo tecnológico y social.

Listado de publicaciones en Journals

 

  • Porporatto, L. G., Achkar, V. G., Fumero, Y., Brunaud, B. B., Torres, N., Corsano, G. (2025). MILP reformulation and extension of multi-echelon inventory optimization model based on the guaranteed service approach. Computers and Chemical Engineering, 202, Article 109305. https://doi.org/10.1016/j.compchemeng.2025.109305
  • Manassaldi, J. I., Incer-Valverde, J., Morosuk, T., Mussati, M. C., Mussati, S. F. (2025). A novel optimization strategy for designing cryogenic energy storage systems. Energy, 332, Article 136490. https://doi.org/10.1016/j.energy.2025.136490
  • Mione, F. M., Luna, M. F., Kaspersetz, L., Neubauer, P., Martínez, E. C., Cruz-Bournazou, M. N. (2025). A property graph schema for automated metadata capture, reproducibility and knowledge discovery in high-throughput bioprocess development. Digital Discovery, 4(9), 2401–2422. https://doi.org/10.1039/d5dd00070j
  • Fischer, C. D., Mussati, M. C., Morosuk, T., Mussati, S. F. (2025). Optimization of hybrid CO₂ capture processes. Energy, 330, Article 136724. https://doi.org/10.1016/j.energy.2025.136724
  • Figueroa Paredes, D. A., Sánchez, R. J., Laoretani, D. S., Fuentes, M., Fernández, M. B., Espinosa, J. (2025). Variants of the hybrid distillation/pervaporation process: Conceptual model-based optimization and environmental analysis for IPA dehydration. Separation and Purification Technology, 363, Article 132281. https://doi.org/10.1016/j.seppur.2025.132281
  • Bagajewicz, M. J., Nahes, A. L. M., Queiroz, E. M., Oliva, D. G., Francesconi, J. A., Costa, A. L. H. (2025). Globally optimal basic design of multiple-unit heat exchangers. AIChE Journal, 71(7), Article e18838. https://doi.org/10.1002/aic.18838
  • Luna, M. F., Mione, F. M., Kaspersetz, L., Neubauer, P., Martínez, E. C., Cruz-Bournazou, M. N. (2025). Automated regression of bioreactor models using a Bayesian approach for parallel cultivations in robotic platforms. Biochemical Engineering Journal, 219, Article 109729. https://doi.org/10.1016/j.bej.2025.109729
  • Tibaldo, A. S., Montagna, J. M., Fumero, Y. (2025). MILP model for simultaneous batching, production and distribution operations in single-stage multiproduct batch plants. International Journal of Industrial Engineering Computations, 16(3), 671–692. https://doi.org/10.5267/j.ijiec.2025.4.005
  • Tibaldo, A. S., Montagna, J. M., Fumero, Y. (2025). Efficient mixed-integer linear programming model for integrated management of ready-mixed concrete production and distribution. Automation in Construction, 173, Article 106074. https://doi.org/10.1016/j.autcon.2025.106074
  • Schmidhalter, I., Mussati, M. C., Mussati, S. F., Marcovecchio, M. G., Aguirre, P. A. (2025). Optimal green ammonia system design for minimum levelized costs in Southern Argentina. International Journal of Hydrogen Energy, 121, 337–350. https://doi.org/10.1016/j.ijhydene.2025.03.317
  • Blas, M. J., Toniolo, M., Gonnet, S. (2025). Enhancing routed DEVS models with event tracking. Journal of the Brazilian Computer Society, 31(1), 412–425. https://doi.org/10.5753/jbcs.2025.4613
  • Dominguez, J. A., Vegetti, M., Gonnet, S. (2025). Asset administration shell submodel for representing the procedural part of ISA-88 recipes. IEEE Latin America Transactions, 23(1), 36–42. https://doi.org/10.1109/TLA.2025.10810401
  • Alvarez, G. E. (2025). Optimising large-scale generation and transmission systems via neural network-based wind energy forecasting: An integrated approach applied to Argentina. International Journal of Ambient Energy, 46(1), Article 2571521. https://doi.org/10.1080/01430750.2025.2571521