关键词: 闭环供应链, 网络设计, 模糊规划, 优化算法, 低碳

Abstract: To realize the low carbon of supply chain management from perspective of network design,the low-carbon closed-loop supply chain network design with parameter fuzziness was researched.To cope with the strategic location and configuration problem of multi-stage low-carbon closed-loop supply chain network design consisted of many participants such as manufacturing plants,collection centers,disposal centers and customers under fuzzy conditions,aiming at minimizing the total costs and total carbon emissions of supply chain network,a multi-objective fuzzy programming model with chance constraints was developed by considering the parameter fuzziness of multi-stage closed-loop supply chain network,the tactical multiple product flows and the transportation modes selection decisions.It also optimizes the lowest conservatism level of chance constraints was taken as decision variables to be optimized by this model,which achieved the effective balance between economic and environmental objectives.An interactive ε-constraint fuzzy solution algorithm based on necessity measure was proposed to solve the model,and a numerical example was tested to show the validity and feasibility of the proposed model and algorithm.

Key words: closed-loop supply chain, network design, fuzzy programming, optimization algorithm, low carbon