Facultad Regional Santa Fe

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    Efficient mixed-integer linear programming model for integrated management of ready-mixed concrete production and distribution
    (Automation in Construction, 2025-02-14) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    The ready-mixed concrete industry plays a key role in the construction sector. Tight integration between different actors is required for developing a successful project. In this context, this paper presents a contribution to optimal daily planning of production and distribution operations in the concrete industry to meet the requirements of construction sites. Customized products must be produced and delivered satisfying the specific time windows proposed by customers. To solve this problem, traditional models often resort to approaches based on decomposition techniques or approximate methods, which may provide poor quality solutions that deviate significantly from optimal planning. In contrast, this article presents an integrated and exact approach to solve the problems of ready-mixed concrete batching, production and distribution, reaching the optimal global solution in good computational times. Several examples are solved to assess the capability and performance of the proposed formulation and its applicability to a real case in this industry.
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    MILP model for simultaneous batching, production and distribution operations in single-stage multiproduct batch plants
    (International Journal of Industrial Engineering Computations, 2025-04-08) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    Traditionally, the short-term production and distribution activities have been addressed with a decoupled and sequential methodology. Although this approach simplifies the problem, there are several environments where it generates inefficiencies or is simply not applicable. Consequently, the integration of both problems is very valuable in a variety of industrial applications, especially in industries where final products must be delivered to customers shortly after production. This paper presents a mixed-integer linear optimization model that simultaneously solves the production and distribution scheduling in a single-stage multi-product batch facility with multiple nonidentical units operating in parallel, where transportation operations are carried out with a heterogeneous fleet of vehicles. As operations are performed in a batch environment, the production and distribution problems also integrate decisions related to the number and size of batches required to meet the demand for multiple products. The capabilities of the proposed approach are illustrated through several cases of study. Finally, these examples are solved with a two-stage approach and the superiority of the solutions using the integrated approach is demonstrated.
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    Herramientas avanzadas para la toma de decisiones en proyectos de recuperación terciaria de petróleo
    (2024-07) Presser, Demian J.; Cafaro, Diego C.; Vega, Isabel N.
    La recuperación terciaria de petróleo (EOR) engloba técnicas avanzadas para extraer hidrocarburos remanentes en yacimientos maduros, mejorando la eficiencia de desplazamiento y las tasas de recuperación a través de la alteración de propiedades físico-químicas en los agentes de barrido, hidrocarburos, o la formación misma. Estos métodos presentan importantes desafíos económicos y técnicos. Desde el punto de vista económico, la evaluación de iniciativas EOR implica considerables inversiones en la adaptación y perforación de pozos, instalación de plantas de procesamiento, y abastecimiento de materiales y servicios. Técnicamente, es crucial predecir la productividad para diseñar planes de explotación eficientes. La tesis propone herramientas rigurosas para asistir en la evaluación y diseño de sistemas productivos y logísticos en EOR, proporcionando medios ágiles de optimización. Dos aplicaciones clave son la inyección de soluciones poliméricas y de dióxido de carbono (CO2) en condiciones supercríticas, buscando mejorar la capacidad de barrido en los yacimientos. La implementación de EOR requiere una valoración precisa de las regiones de mayor rendimiento, el diseño de redes de infraestructura rentables y esquemas de operación eficientes. El enfoque novedoso de la tesis incluye metodologías de programación matemática, como un modelo mixto-entero no lineal (MINLP) para optimizar estrategias de inyección de polímeros y CO2 bajo condiciones inciertas. Además, integra decisiones para el desarrollo conjunto de proyectos de captura, utilización y secuestro de carbono (CCUS), justificando las inversiones en CO2 al combinar EOR y CCUS. Finalmente, la tesis revisa avances en el diseño óptimo de redes de tuberías bajo restricciones topológicas y fluidodinámicas, presentando un nuevo algoritmo iterativo e incremental que permite alcanzar la optimalidad global en el diseño de redes en tiempos de cómputo reducidos.
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    Detailed planning and inventory optimization model in the mattress industry
    (2015) Montagna, Jorge Marcelo; Cecchietti, Aldo; Rodriguez, María Analía; Corsano, Gabriela
    In this work, a mixed integer linear programming (MILP) model for the simultaneous production and inventory planning problems is proposed, which arise in the industrial context of polyurethane foam manufactory. The production process considers the foam blooming stage as well as the curing step where the blocks are dried. Several tradeoffs are involved in the overall model given that detailed inventory management decisions are also taken into account in the formulation. Several study cases provided by a local company are tested to show the model performance.