数学优化
供应链
计算机科学
计算
约束(计算机辅助设计)
启发式
利润(经济学)
残余物
模糊逻辑
供应链管理
多目标优化
运筹学
数学
算法
经济
人工智能
政治学
几何学
微观经济学
法学
作者
Yipei Zhang,Ada Che,Feng Chu
标识
DOI:10.1080/00207543.2020.1851057
摘要
Closed-loop supply chains (CLSC) for food products mostly focus on the recovery of the residual value of food itself. Food packaging that plays an important role in food supply chain has rarely been studied. This paper aims to investigate an integrated multi-period closed-loop food supply chain planning problem with returnable transport items (RTIs) in which the total profit and the environmental impact are simultaneously considered. For the problem, an improved bi-objective mixed-integer linear program is formulated with obtained valid inequalities. Especially, the model with valid inequalities can reduce nearly 50% of the average computation time compared with the initial one. To solve the problem, a kernel-search heuristic based ε-constraint method is developed to obtain an approximate Pareto front. Finally, a fuzzy logic-based technique is adapted to help decision makers select a preferred solution according to his/her preference. A real case study from a slaughterhouse illustrates that the proposed method can improve the company’s current strategy for a 7-day planning. Computational results of randomly generated instances demonstrate that the proposed method outperforms the exact ε-constraint method in terms of computational time while providing good approximation.
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