Facultad Regional Santa Fe

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Author: search.filters.author.Corsano, GabrielaSubject: search.filters.subject.Mixed integer linear programming

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    A mathematical modeling for simultaneous routing and scheduling of logging trucks in the forest supply chain
    (Forest Policy and Economics, 2022-01-12) Melchiori, Luciana; Nasini, Graciela; Montagna, Jorge Marcelo; Corsano, Gabriela
    Transportation cost in the forest industry highly impacts on the overall costs of the supply chain, and therefore it must be optimized for improving profitability. Considering the problem characteristics, the decisions related to the transport problem, such as allocation, routing, and scheduling, are usually decoupled, resorting to different decomposition strategies. As a result, suboptimal and underperforming solutions are obtained. In this article, decisions about raw material allocation, routing and scheduling are simultaneously solved through a mixed integer linear programming model. The proposed model involves an arc-based formulation for routing and a time grid discretization, including the definition of loading and unloading shifts for scheduling. This leads to detailed transportation planning for a homogeneous logging truck fleet that must fulfill the demand of varied raw material at minimum cost. Examples and performance tests are provided to assess the capabilities of the proposed exact approach.
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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.