DocumentCode :
2229191
Title :
A multi-objective reverse logistics network for product returns
Author :
Lo, C.C. ; Chen, H.M. ; Huang, H.L.
Author_Institution :
Dept. of Bus. Manage., Nat. United Univ., Miaoli, Taiwan
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1634
Lastpage :
1638
Abstract :
Product return network design usually may involve multi-objective decision making, for example total reverse logistics costs, loads balance for product return operations on product collection points and the convenience of customers who return products, etc. In this study, a fuzzy multi-objective reverse logistics network for product returns is developed. The goal of the proposed model is to determine the optimal number and location of initial collection points for returned products and the location/allocation of centralized return centers. We employ a weighted max-min approach for fuzzy goal programming to formulate the multi-objective product return system. A soft computing, differential evolution (DE) is proposed to solve the problem. We show that the solution derived from the fuzzy method satisfies the decision maker¿s desirable achievement level of the objectives. A case example is presented to illustrate the model implementation.
Keywords :
decision making; fuzzy set theory; mathematical programming; reverse logistics; differential evolution; fuzzy goal programming; fuzzy method; multi-objective decision making; multi-objective product return system; multi-objective reverse logistics network; soft computing; weighted max-min approach; Availability; Costs; Councils; Decision making; Electronic commerce; Fuzzy systems; Internet; Product design; Reverse logistics; Waste management; fuzzy goal programming; network design; reverse logistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
Type :
conf
DOI :
10.1109/IEEM.2008.4738149
Filename :
4738149
Link To Document :
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