DocumentCode :
2410058
Title :
Study on Reverse Logistics Network Model for Household Electric Product Based on Genetic Algorithm
Author :
Qinghua, Wang ; Xiaozhong, Xiong ; Wenhao, Tian ; Liang, He
Author_Institution :
Dept. of Public Procurement & Logistics, Wuhan Inst. of Econ., Wuhan, China
fYear :
2010
fDate :
7-9 May 2010
Firstpage :
3293
Lastpage :
3296
Abstract :
A sound designing of reverse logistics network for household electric product may lead to benefits of both economic and political. On the basis of analyzing reverse logistics network model, a reverse logistics network model is given for the returning of household electric product in such locations as collection, storage, disassembly, burying, and sale. A genetic algorithm is constructed, and case computing is conducted. The result demonstrates that using the genetic algorithm in the optimization of reverse logistics network model may achieve the optimum solution or approximate optimum solution.
Keywords :
domestic appliances; electrical products; genetic algorithms; reverse logistics; case computing; economic benefit; genetic algorithm; household electric product; optimization; political benefit; reverse logistics network model; Biological system modeling; Marketing and sales; Materials; Reverse logistics; Transportation; Uncertainty; genetic algorithm; household electric product; model; reverse logistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
Type :
conf
DOI :
10.1109/ICEE.2010.828
Filename :
5591365
Link To Document :
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