Optimization model for remanufacturing logistics network with fuzzy parameters
In this paper, a ulti-product multi-echelon remanufacturing logistics network based on forward flows is designed. A fuzzy mixed integer linear programming (FMILP) model is developed accounting for the uncertainty of the quantities of returned products as fuzzy parameters. Regarding the quantity of the returned products as triangle fuzzy parameter, the proposed model is solved by converting fuzzy chance constraints to their respective crisp equivalents.An illustrative example is presented to demonstrate the effectiveness of the model.
Remanufacturing Reverse logistics Logistics network Fuzzy programming
Zhang Ling Wang Zhengxiao Pan Xiaohong Dong Tianyang
Institute of Manufacturing Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China Schoo Institute of Manufacturing Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China College of Computer, Zhejiang University of Technology, Hangzhou, Zhejiang, 310032, China
国际会议
长沙
英文
1974-1977
2010-03-13(万方平台首次上网日期,不代表论文的发表时间)