DocumentCode :
3125242
Title :
A game theoretic approach to product-mix resource allocation
Author :
Yunzhi, Wang ; Yaoguang, Hu ; Yanhua, Jia ; Ruijun, Zhang
Author_Institution :
Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing, China
fYear :
2010
fDate :
15-17 June 2010
Firstpage :
2142
Lastpage :
2147
Abstract :
In view of the common issue of product-mix resource allocation decision under limited manufacturing resource, this article proposes a new approach based on game theory. Firstly, a quantification method is applied to represent the utility of manufacturing resource and strategy profile, and then a multi-dimension game model is presented using these quantified manufacturing data as element of game theory. By solving the game model, the Nash equilibrium solution is regarded as optimal resource allocation strategy. The goal of the solution is to maximize the individual profit of each product. The desired equilibrium will meet the requirements for resource by the greatest degree to make each product achieve optimal production status, simultaneously the enterprise will get higher rate of return on investment.
Keywords :
game theory; resource allocation; Nash equilibrium solution; game theory; optimal production status; optimal resource allocation; product-mix resource allocation; quantification method; return on investment; Agricultural engineering; Cost function; Data mining; Decision making; Delta modulation; Game theory; Manufacturing processes; Production; Resource management; Virtual manufacturing; Game Theory; Multi-dimension Game Model; Product-Mix Resource Allocation; Quantitation Decision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
Conference_Location :
Taichung
Print_ISBN :
978-1-4244-5045-9
Electronic_ISBN :
978-1-4244-5046-6
Type :
conf
DOI :
10.1109/ICIEA.2010.5516640
Filename :
5516640
Link To Document :
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