Title :
An optimization model of integrated forward/reverse logistics network for manufacturer of Joint operations under uncertain environment
Author_Institution :
Coll. of Bus., Guangxi Univ. for Nat., Nanning, China
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5988285
