An optimization model of integrated forward/reverse logistics network for manufacturer of Joint operations under uncertain environment

Author

Qin, Xiaohui

Author_Institution

Coll. of Bus., Guangxi Univ. for Nat., Nanning, China

fYear

2011

fDate

15-17 July 2011

Firstpage

5557

Lastpage

5560

Abstract

An optimization model of integrated forward/reverse logistics network for manufacturer of jiont operations is proposed under uncertain environment, the model can solve location selection of distribution center, recycling center and recycling processing center, and flow allocation between facilities. Then a steps for solving the model was given by transforming the model to certain model. Since such network design problems belong to a class of NP hard problems, a genetic algorithm is presented. Finally the validity of the model was demonstrated by a numerical example.

Keywords

computational complexity; genetic algorithms; logistics; NP hard problems; distribution center; facilities flow allocation; genetic algorithm; integrated forward-reverse logistics network; joint operations; location selection; optimization model; recycling center; recycling processing center; uncertain environment; Computational modeling; Europe; Genetic algorithms; Numerical models; Operations research; Optimization; Reverse logistics; Manufacturers jiont operation; logistics network; optimization model; stochastic programming; transport economics;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Conference_Location

Hohhot

Print_ISBN

978-1-4244-9436-1

Type

conf

DOI

10.1109/MACE.2011.5988285

Filename

5988285