DocumentCode :
3252727
Title :
A two-phase optimization study on strategic alliance partners selection of collaborative product design
Author :
Dou, Run-Liang ; Yang, Guang
Author_Institution :
Dept. of Manage., TianJin Univ., Tianjin, China
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
480
Lastpage :
483
Abstract :
Directly related to the success of product design, selection of partners is an important element in collaborative design management technology. Based on the existing literature analysis, this paper proposed a set of more simple and practical selection steps according to the actual situation of partner selection. The proposed two stage partner selection method starts with the preliminary selection based on the improved effectiveness of DEA and then proceed to the optimization usage genetic algorithm.
Keywords :
data envelopment analysis; genetic algorithms; product design; strategic planning; DEA; collaborative design management technology; collaborative product design; literature analysis; optimization usage genetic algorithm; preliminary selection; strategic alliance partners selection; two stage partner selection method; two-phase optimization study; Computational modeling; Computers; Monitoring; Collaborative Design; Genetic Algorithm; Strategic Alliance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
Type :
conf
DOI :
10.1109/ICIEEM.2010.5646570
Filename :
5646570
Link To Document :
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