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Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept

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  • Chen, Liang-Hsuan
  • Ko, Wen-Chang

Abstract

Quality function deployment (QFD) is a customer-driven approach in processing new product development (NPD) to maximize customer satisfaction. Determining the fulfillment levels of the "hows", including design requirements (DRs), part characteristics (PCs), process parameters (PPs) and production requirements (PRs), is an important decision problem during the four-phase QFD activity process for new product development. Unlike previous studies, which have only focused on determining DRs, this paper considers the close link between the four phases using the means-end chain (MEC) concept to build up a set of fuzzy linear programming models to determine the contribution levels of each "how" for customer satisfaction. In addition, to tackle the risk problem in NPD processes, this paper incorporates risk analysis, which is treated as the constraint in the models, into the QFD process. To deal with the vague nature of product development processes, fuzzy approaches are used for both QFD and risk analysis. A numerical example is used to demonstrate the applicability of the proposed model.

Suggested Citation

  • Chen, Liang-Hsuan & Ko, Wen-Chang, 2010. "Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept," European Journal of Operational Research, Elsevier, vol. 201(2), pages 619-632, March.
    • Handle: RePEc:eee:ejores:v:201:y:2010:i:2:p:619-632
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    References listed on IDEAS

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    Cited by:

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    2. Song-Man Wu & Hu-Chen Liu & Li-En Wang, 2017. "Hesitant fuzzy integrated MCDM approach for quality function deployment: a case study in electric vehicle," International Journal of Production Research, Taylor & Francis Journals, vol. 55(15), pages 4436-4449, August.
    3. Tsai, Sang-Bing & Yu, Jian & Ma, Li & Luo, Feng & Zhou, Jie & Chen, Quan & Xu, Lei, 2018. "A study on solving the production process problems of the photovoltaic cell industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3546-3553.
    4. Benedikt Müller-Stewens & Klaus Möller, 2017. "Performance in new product development: a comprehensive framework, current trends, and research directions," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 157-201, May.
    5. Yan, Hong-Bin & Ma, Tieju, 2015. "A group decision-making approach to uncertain quality function deployment based on fuzzy preference relation and fuzzy majority," European Journal of Operational Research, Elsevier, vol. 241(3), pages 815-829.
    6. Chen, Liang-Hsuan & Ko, Wen-Chang & Yeh, Feng-Ting, 2017. "Approach based on fuzzy goal programing and quality function deployment for new product planning," European Journal of Operational Research, Elsevier, vol. 259(2), pages 654-663.
    7. Wu, Xin & Nie, Lei & Xu, Meng, 2017. "Robust fuzzy quality function deployment based on the mean-end-chain concept: Service station evaluation problem for rail catering services," European Journal of Operational Research, Elsevier, vol. 263(3), pages 974-995.
    8. Sang-Bing Tsai & Jie Zhou & Yang Gao & Jiangtao Wang & Guodong Li & Yuxiang Zheng & Peng Ren & Wei Xu, 2017. "Combining FMEA with DEMATEL models to solve production process problems," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    9. Kamvysi, Konstantina & Gotzamani, Katerina & Andronikidis, Andreas & Georgiou, Andreas C., 2014. "Capturing and prioritizing students’ requirements for course design by embedding Fuzzy-AHP and linear programming in QFD," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1083-1094.
    10. Yilmaz, Omer Faruk & Ozcelik, Gokhan & Yeni, Fatma Betul, 2020. "Lean holistic fuzzy methodology employing cross-functional worker teams for new product development projects: A real case study from high-tech industry," European Journal of Operational Research, Elsevier, vol. 282(3), pages 989-1010.

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