文章基本信息

标题：Closed-Loop Supply Chain Network Design under Uncertainties Using Fuzzy Decision Making
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作者：Zhengyang Hu ; Viren Parwani ; Guiping Hu 等
期刊名称：Logistics
印刷版ISSN：2305-6290
出版年度：2021
卷号：5
期号：1
页码：15-30
DOI：10.3390/logistics5010015
摘要：The importance of considering forward and backward flows simultaneously in supply chain networks spurs an interest to develop closed-loop supply chain networks (CLSCN). Due to the expanded scope in the supply chain, designing CLSCN often faces significant uncertainties. This paper proposes a fuzzy multi-objective mixed-integer linear programming model to deal with uncertain parameters in CLSCN. The two objective functions are minimization of overall system costs and minimization of negative environmental impact. Negative environmental impacts are measured and quantified through CO2 equivalent emission. Uncertainties include demand, return, scrap rate, manufacturing cost and negative environmental factors. The original formulation with uncertain parameters is firstly converted into a crisp model and then an aggregation function is applied to combine the objective functions. Numerical experiments have been carried out to demonstrate the effectiveness of the proposed model formulation and solution approach. Sensitivity analyses on degree of feasibility, the weighing of objective functions and coefficient of compensation have been conducted. This model can be applied to a variety of real-world situations, such as in the manufacturing production processes.
关键词：closed-loop supply chain network design; fuzzy multi-objective decision making; mixed integer linear programming closed-loop supply chain network design ; fuzzy multi-objective decision making ; mixed integer linear programming