Scholarlink

<p>In production and inventory systems, stochasticity in demand and other operational parameters pose significant challenges for decision-making, especially for perishable products, where managers must balance demand fulfillment with minimizing waste due to unsellable or expired items. This paper proposes a Rolling Horizon (RH) approach to dynamically optimize the production and inventory management plan for a perishable product. The practical problem faced by a large dairy producer, previously presented in the literature, considers: production plants, a First Expired, First Out (FEFO) policy in two inventory levels, stochastic demand, and a set of practical constraints. To investigate the key performance indicators: profit, service level, and destroyed items, a comparative study is carried out between a static and a dynamic approach, considering some variants such as updating the expected demands in each re-planning and the use of different study horizons. The results point to the great superiority of the dynamic RH over the static approach, making it possible to obtain better economic and service level results while promoting a cleaner and more sustainable operation through a significant reduction in the waste level.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A Rolling Horizon Approach for a Production Planning and Inventory Management Problem Under Stochastic Demand

  • 期刊论文

  • 发表日期：

    2025年6月26日

查看全文
  • Jeferson Auto da Cruz,
  • Luiz Leduino de Salles-Neto,
  • Cleder Marcos Schenekemberg

摘要

In production and inventory systems, stochasticity in demand and other operational parameters pose significant challenges for decision-making, especially for perishable products, where managers must balance demand fulfillment with minimizing waste due to unsellable or expired items. This paper proposes a Rolling Horizon (RH) approach to dynamically optimize the production and inventory management plan for a perishable product. The practical problem faced by a large dairy producer, previously presented in the literature, considers: production plants, a First Expired, First Out (FEFO) policy in two inventory levels, stochastic demand, and a set of practical constraints. To investigate the key performance indicators: profit, service level, and destroyed items, a comparative study is carried out between a static and a dynamic approach, considering some variants such as updating the expected demands in each re-planning and the use of different study horizons. The results point to the great superiority of the dynamic RH over the static approach, making it possible to obtain better economic and service level results while promoting a cleaner and more sustainable operation through a significant reduction in the waste level.