Improved model and efficient method for bi-objective closed-loop food supply chain problem with returnable transport items
Improved model and efficient method for bi-objective closed-loop food supply chain problem with returnable transport items
复制标题
可回收运输物品双目标闭环食品供应链问题的改进模型和高效方法
DOI：
10.1080/00207543.2020.1851057
复制
发表时间：
2020-12
影响因子：
9.2
通讯作者：
Feng Chu
中科院分区：
文献类型：
--
作者：
Yipei Zhang;Ada Che;Feng Chu
摘要食品闭环供应链主要关注食品本身剩余价值的回收。食品包装作为食品供应链中的重要环节，却很少被研究。研究了同时考虑总利润和环境影响的含可回收运输物品的多周期闭环食品供应链规划问题。针对该问题，利用得到的有效不等式，建立了一个改进的双目标混合整数线性规划。特别是，有效的不等式模型可以减少近50%的平均计算时间相比，初始的。为了解决这个问题，一个核搜索启发式的ε-约束方法，以获得一个近似的Pareto前沿。最后，一个模糊逻辑为基础的技术是适应，以帮助决策者选择一个首选的解决方案，根据他/她的喜好。一个来自屠宰场的真实的案例研究表明，所提出的方法可以改善该公司目前的7天计划的战略。随机生成的实例的计算结果表明，该方法优于精确的ε-约束方法的计算时间，同时提供了良好的近似。
ABSTRACT 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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