Facultad Regional Santa Fe

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Author: search.filters.author.Corsano, GabrielaSubject: search.filters.subject.Optimization

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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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    Optimal design of forest supply chain considering efficient residues and byproducts reuse
    (2015) Montagna, Jorge Marcelo; Corsano, Gabriela; Campanella, Sandra
    Forest supply chain includes different actors which work together to obtain many products through a set of processes that must be efficiently integrated. Nevertheless, the great number of involved elements and the available production alternatives hinder to attain an optimal supply chain design. A key element to achieve this objective is the adequate utilization of residues and byproducts that abound in these industries. Nowadays, the production of bioethanol from forest raw materials is also a new option that must be addressed in the context of the supply chain. Taking into account the particular conditions of the forest industry in Argentina, a mixed integer linear programming formulation is proposed in order to attain the optimal design of the forest supply chain, emphasizing the appropriate use of residues and byproducts and the production of bioethanol from these raw materials.