Title :
Optimization Model for Remanufacturing Logistics Network with Fuzzy Parameters
Author :
Zhang Ling ; Wang Zhengxiao ; Pan Xiaohong ; Dong Tianyang
Author_Institution :
Inst. of Manuf. Eng., Zhejiang Univ., Hangzhou, China
Abstract :
In this paper, a multi-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.
Keywords :
fuzzy set theory; integer programming; linear programming; recycling; reverse logistics; uncertainty handling; crisp equivalents; forward flows; fuzzy chance constraints; fuzzy mixed integer linear programming; multiproduct multiechelon remanufacturing logistics network; returned products; triangle fuzzy parameters; Educational institutions; Heuristic algorithms; Manufacturing automation; Mechatronics; Mixed integer linear programming; Reverse logistics; Software algorithms; Stochastic processes; Technology management; Uncertainty; Fuzzy programming; Logistics network; Remanufacturing; Reverse logistics;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.696
