Facultad Regional Santa Fe

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Author: search.filters.author.Fumero, Yanina

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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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    A new integrated approach for solving batching, production scheduling and delivery problems in single-stage batch environments
    (Computers & Chemical Engineering, 2024-06-02) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    At operational level, production and distribution integration is very valuable in real-word applications, especially in industries where products must be delivered shortly after production, as in the case of perishable or customized products. Given that the involved decisions belong to different departments and considering their high combinatory, they are usually decoupled. Although this sequential approach simplifies decision making, it can lead to suboptimal solutions for the integrated problem. This paper presents a novel mixed-integer linear programming (MILP) model to simultaneously manage batching, production, and distribution decisions. An efficient strategy is proposed, where feasible routes that vehicles can travel are generated beforehand, which greatly simplify the formulation. Thus, infeasible routes are not considered (reduction of the search space) and several important decisions are made simultaneously when selecting a route (allocation and sequencing of the customers). The performance of this approach is superior to previous ones, especially in large problems.
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    Optimal planning and scheduling of multiproduct batch plants operating under production campaign in a multiperiod context
    (2013) Fumero, Yanina; Corsano, Gabriela; Moreno, Marta S.; Montagna, Jorge Marcelo
    A multiperiod optimization model for the simultaneous planning and scheduling of multiproduct batch plants is presented in this work. Decisions about production and storage of different products, as well as production campaign in each period are jointly taken into account. Thus, for each time period, the number and size of batches of each product in the campaign, the assignment of batches to units and their sequencing, and the number of repetitions of the campaign must be determined. Different trade-offs among the various decision variables are evaluated according to seasonal and market fluctuations presented in each period. The proposed modelling framework provides a valuable tool for guiding the decisions in planning and scheduling of multiproduct batch plants.
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    Impacto del uso de residuos en el diseño y operación de una cadena de suministros para la producción de etanol
    (2015) Montagna, Jorge Marcelo; Fumero, Yanina; Vanzetti, Nicolás; Corsano, Gabriela
    En este trabajo se desarrolla un modelo multiobjetivo (maximizar ganancias-minimizar impacto ambiental) para el diseño óptimo de una cadena de suministro para la producción de etanol a partir de mieles provenientes de diversas plantas de azúcar. Simultáneamente se obtiene el diseño de cada planta instalada y la programación detallada de su producción, esto último modelado mediante campañas mixtas de producción. El impacto ambiental causado por la producción de etanol es medido a través de los efluentes generados en cada planta. Para minimizar este impacto, se propone producir levaduras de dos tipos. De esta forma, el problema multiobjetivo es resuelto maximizando la función económica para diferentes valores permitidos de efluentes, generando un conjunto de soluciones posibles. A través de un caso de estudio, se muestra la potencialidad del enfoque propuesto, que sirve como herramienta al momento de diseñar una cadena sustentable y permite analizar diferentes escenarios.
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    Simultaneous planning and scheduling of multistage multiproduct batch plants with non-identical parallel units and sequence-dependent changeovers
    (2014) Montagna, Jorge Marcelo; Fumero, Yanina; Corsano, Gabriela
    A mixed integer linear programming model for the simultaneous planning and scheduling of multistage multiproduct batch plants in a multiperiod context is presented in this work. The batch plant is composed by a set of stages with parallel units of different sizes. The scheduling decisions are modeled considering mixed product campaign-based operation mode and sequence-dependent changeover times. Thus, for each time period, the number of batches of each product in the campaign, the batch assignment to units in each stage and its sequencing, and the number of repetitions of the campaign are jointly determined. Also, decisions about production and storage of different products, and raw material consumption and storage are taken into account. The approach capabilities are highlighted through an example.
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    An MILP model for planning of batch plants operating in a campaign- mode
    (2014) Fumero, Yanina; Corsano, Gabriela; Montagna, Jorge Marcelo
    A mixed integer linear programming for the detailed production planning of multiproduct batch plants is proposed in this work. New timing decisions are incorporated to the model taking into account that an operation mode based in campaigns is adopted. For plants operating in a regular fashion along a time horizon, this operation mode assures a more efficient production management. In addition, sequencedependent 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 model determines the number of batches that compose the production campaign and their sizes, the assignment and sequencing of batches in each unit, and the timing of batches in each unit in order to minimize the campaign cycle time. The proposed model provides a useful tool for solving the optimal campaign planning of installed facilities.