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

• Jeferson Auto da Cruz ^[2] ; Luiz Leduino de Salles Neto ^[1] ; Cleder Marcos Schenekemberg ^[1]
  1. [1] Universidade Federal de São Paulo

     Universidade Federal de São Paulo

     Brasil

     
  2. [2] Federal Institute of São Paulo (IFSP), Brasil
• Localización: Top, ISSN-e 1863-8279, ISSN 1134-5764, Vol. 32, Nº. 2, 2024, págs. 263-303
• Idioma: inglés
• DOI: 10.1007/s11750-024-00667-x
• Enlaces
  • Texto completo
• Resumen
  • español

    263-303

  • English

    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 fow 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.

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