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Cluster Analysis on Candidates of Cooperative Product Development Team

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Cooperative Design, Visualization, and Engineering

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6240))

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Abstract

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.

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© 2010 Springer-Verlag Berlin Heidelberg

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Xu, Y., Gao, X., Wang, Y., Wei, L. (2010). Cluster Analysis on Candidates of Cooperative Product Development Team. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. Lecture Notes in Computer Science, vol 6240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16066-0_37

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  • DOI: https://doi.org/10.1007/978-3-642-16066-0_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16065-3

  • Online ISBN: 978-3-642-16066-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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