Stochastic production routing problem for perishable products: Modeling and a solution algorithm
针对需求不确定的易腐产品，提出一个整合生产、库存和路径决策的随机模型，并设计五阶段元启发式算法求解，能显著减少浪费，尤其适用于保质期短且新鲜度价值高的产品。
The freshness of perishable products, in addition to other economic aspects such as production, inventory, and transportation management, is one of the main challenges of food supply chains. Therefore, integration of production, inventory, and routing decisions is essential. In this study, a new production routing model for perishable products with uncertain demand is presented. The aim is to minimize the costs of production, inventory, routing, wasted products, and penalties for non-fresh products. The model is more applicable for perishable products with limited, discrete shelf life with a high freshness value. A five-phase matheuristic algorithm is proposed to solve the stochastic mathematical model. Computational experiments show that the proposed mathematical model can result in a significant reduction of wasted products, particularly when consumer buying patterns change due to various occurrences, such as a pandemic. Also, numerical analysis for small, medium, and large instances confirms the validity and efficiency of the proposed matheuristic algorithm when compared with an exact solver.