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

Volume

2

fYear

2010

fDate

13-14 March 2010

Firstpage

849

Lastpage

852

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMTMA.2010.696

Filename

5460121