基于交互式模糊规划方法的可持续闭环供应链网络规划

在市场需求、设施开设成本和产品回收率不确定的条件下,采用一种交互式可能性规划方法,研究由多个工厂、分销点、市场和废旧点构成的可持续闭环供应链网络设计问题。基于可持续闭环供应链网络结构,构建以企业运营成本和环境伤害最小、社会效益最大为目标的混合整数规划模型。同时,引入改进Epsilon约束方法将多目标优化问题转化为单目标优化问题,在此基础上提出一种两阶段可能性规划方法,基于TH模糊方法对不确定性参数进行处理。最后,通过数值实例,验证本文所建可持续闭环供应链网络模型的有效性,并对悲观-乐观值、不确定参数最低可接受水平β、可调参数γ进行敏感性分析;通过与其他模糊方法对比表明,采用TH模糊方法能得到稳定的最优解。

Sustainable Closed-loop Supply Chain Network Planning Based on Interactive Fuzzy Programming

Under the condition of uncertain market demand, facility cost and product recovery rate, an interactive possibility planning method is adopted to study the design of sustainable closed-loop supply chain network composed of multiple factories, distribution points, markets and waste points. Based on the sustainable closed-loop supply chain network structure, a mixed integer programming model is constructed, which aims to minimize the operation cost and environmental damage, and maximize the social benefits. At the same time, the improved epsilon constraint method is introduced to transform the multi-objective optimization problem into the single-objective optimization problem. On this basis, a two-stage possibility programming method is proposed, which uses TH fuzzy method to deal with the uncertain parameters. A numerical example is used to verify the effectiveness of the sustainable closed-loop supply chain network model established in this paper. At the same time, sensitivity analysis is carried out for pessimistic optimistic value, the lowest acceptable level of uncertain parameters and adjustable parameters. Comparison with other fuzzy methods shows that the TH fuzzy method adopted in this paper can obtain stable optimal solution.