Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise
Computers and Operations Research
A Novel Partner Selection Solution Based on the Clonal Selection Algorithm
ICIII '08 Proceedings of the 2008 International Conference on Information Management, Innovation Management and Industrial Engineering - Volume 01
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Project managers of the cooperative product development projects have to face the problem of how to set up a development team from the widespread candidates all over the world. In this paper, cluster analysis is used in selecting candidates of cooperative product development team. Five attributes including technical ability, innovation ability, cooperation ability, experience level and credit level are proposed. Attribute cluster process is presented in detail as well. Case study shows that the cluster analysis can effectively reduce the configuration difficulty of the collaborative product development team.