DocumentCode :
2230069
Title :
Behavior Simulation on Supply Chain Management Based on Genetic Algorithm
Author :
Wang, Xiao-yan ; Zhang, Jian-hua
Author_Institution :
Dept. of Found., Xuzhou Airforce Coll., Xuzhou, China
Volume :
4
fYear :
2010
fDate :
26-28 Nov. 2010
Firstpage :
257
Lastpage :
260
Abstract :
Bullwhip Effect is a phenomenon that demand variety adds upstream supply chain. In supply chain management how to reduce the Bullwhip Effect is a research focus. In this paper, the Beer Game is taken as an example to simulate the supply chain management from the viewpoint of system based on evolutionary theory. Research results shows that using GA supply chain management outperform the traditional supply chain, in which the bullwhip effect are mitigated and the accumulated are lowered. This research is adaptable to an ever-changing business. This research is adaptable to an ever-changing business.
Keywords :
game theory; genetic algorithms; supply and demand; supply chain management; Beer Game; Bullwhip effect; demand variety; ever-changing business; evolutionary theory; genetic algorithm; supply chain management; beer game; genetic algorithm; supply chain management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering (ICIII), 2010 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-8829-2
Type :
conf
DOI :
10.1109/ICIII.2010.540
Filename :
5694895
Link To Document :
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