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An integrated production planning and inventory management problem for a perishable product: optimization and Monte Carlo simulation as a tool for planning in scenarios with uncertain demands

Texto completo
Autor(es):
da Cruz, Jeferson Auto ; de Salles-Neto, Luiz Leduino ; Schenekemberg, Cleder Marcos
Número total de Autores: 3
Tipo de documento: Artigo Científico
Fonte: Top; v. 32, n. 2, p. 41-pg., 2024-02-19.
Resumo

This paper addresses a novel problem inspired by a practical situation faced by a Brazilian dairy company, which presents the integration of production and a two-level storage inventory control. In the supply chain (SC) analyzed, multiple production plants, warehouses, and distribution centers are considered. The problem also involves a set of constraints related to logistical capabilities and conditions of material flow throughout the SC. We developed a mathematical model and a Monte Carlo Simulation routine that aims to assist managers in establishing a production and inventory management plan for a perishable product, considering a stochastic and non-stationary demand. A numerical illustration of the results obtained by the mathematical model and a case study are carried out on the consideration of a First-Expired, First-Out inventory management policy. Results demonstrate that the proposed method allows the analysis of safety stock and the achievement of desired service levels while promoting a reduced rate of food waste over the considered planning horizon. (AU)

Processo FAPESP: 21/03269-7 - Determinação de estrutura 3D de proteínas e materiais nanoestruturados com dados incertos via otimização
Beneficiário:Luiz Leduíno de Salles Neto
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 20/07145-8 - Uma meta-heurística adaptativa aplicada ao problema dial-a-ride e variantes
Beneficiário:Cleder Marcos Schenekemberg
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado