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User selection for collaboration in product development based on QFD and DEA approach

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  • Xuefeng Zhang

    (AnHui Polytechnic University)

Abstract

User collaboration has been recognized as a critical factor in successful product development. To select the proper users who have a higher satisfaction to meet product development requirements, this study proposes an integrated approach based on quality function deployment (QFD) and data envelopment analysis (DEA). The proposed approach considers product development requirements, the inner dependencies of user evaluation criteria, and the relationships between requirements and criteria simultaneously and presents them in house of quality (HoQ). For the fuzzy and imprecise information in HoQ, fuzzy weighted average method is employed to determine the weight of each user evaluation criterion. Furthermore, to determine the priorities of users with a large number efficiently, this study implements linguistic variables to assess the weight of each user under each criterion, the DEA method to determine the optimal values of linguistic variables, and the simple additive weighting approach to aggregate the weight of each criteria and the local score of each user with respect to each criterion. An illustrative case is presented to demonstrate the applications of the proposed approach based on QFD and DEA in this paper.

Suggested Citation

  • Xuefeng Zhang, 2019. "User selection for collaboration in product development based on QFD and DEA approach," Journal of Intelligent Manufacturing, Springer, vol. 30(5), pages 2231-2243, June.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:5:d:10.1007_s10845-017-1386-3
    DOI: 10.1007/s10845-017-1386-3
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    References listed on IDEAS

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