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New approach for quality function deployment based on proportional hesitant fuzzy linguistic term sets and prospect theory

Author

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  • Jia Huang
  • Xiao-Yue You
  • Hu-Chen Liu
  • Sheng-Li Si

Abstract

As a powerful instrument to fulfil customer needs, quality function deployment (QFD) is capable of converting customer requirements (CRs) into appropriate engineering characteristics (ECs) in the product design and development. Nevertheless, the inherent defects of the conventional QFD, such as the description of experts’ opinions with crisp numbers and the non-robust ranking of ECs, confine its efficiency and potential applications. In this study, a novel QFD approach using proportional hesitant fuzzy linguistic term sets (PHFLTSs) and prospect theory is proposed to overcome the insufficiencies of the traditional QFD. Specifically, the relationships between CRs and ECs are represented by PHFLTSs and the weights of CRs are derived with the best-worst method (BWM). An extended prospect theory is employed for the prioritisation of the ECs that have been identified. Finally, two application examples are provided to examine the applicability and advantages of our proposed QFD approach.

Suggested Citation

  • Jia Huang & Xiao-Yue You & Hu-Chen Liu & Sheng-Li Si, 2019. "New approach for quality function deployment based on proportional hesitant fuzzy linguistic term sets and prospect theory," International Journal of Production Research, Taylor & Francis Journals, vol. 57(5), pages 1283-1299, March.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:5:p:1283-1299
    DOI: 10.1080/00207543.2018.1470343
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    Cited by:

    1. Finger, Gustavo Strauch Wilin & Lima-Junior, Francisco Rodrigues, 2022. "A hesitant fuzzy linguistic QFD approach for formulating sustainable supplier development programs," International Journal of Production Economics, Elsevier, vol. 247(C).
    2. Nana Liu & Zeshui Xu & Yue He & Xiao-Jun Zeng, 2021. "An inverse prospect theory-based algorithm in extended incomplete additive probabilistic linguistic preference relation environment and its application in financial products selection," Fuzzy Optimization and Decision Making, Springer, vol. 20(3), pages 397-428, September.
    3. Hamid Reza Fazeli & Qingjin Peng, 2023. "Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1003-1020, March.
    4. Zhen-Song Chen & Min Li & Wen-Tao Kong & Kwai-Sang Chin, 2019. "Evaluation and Selection of HazMat Transportation Alternatives: A PHFLTS- and TOPSIS-Integrated Multi-Perspective Approach," IJERPH, MDPI, vol. 16(21), pages 1-33, October.
    5. Liang Li & Yanwu Liu & Yan Tu & Xiaoyang Zhou & Benjamin Lev, 2022. "A Novel Group TODIM Method Based on Multi-Granularity Proportional Hesitant Fuzzy Linguistic Term Sets for Water Resources Risk Evaluation," Group Decision and Negotiation, Springer, vol. 31(5), pages 913-944, October.
    6. Jia Huang & Ling-Xiang Mao & Hu-Chen Liu & Min-shun Song, 2022. "Quality function deployment improvement: A bibliometric analysis and literature review," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1347-1366, June.
    7. Hua Shi & Ling-Xiang Mao & Ke Li & Xiang-Hu Wang & Hu-Chen Liu, 2022. "Engineering Characteristics Prioritization in Quality Function Deployment Using an Improved ORESTE Method with Double Hierarchy Hesitant Linguistic Information," Sustainability, MDPI, vol. 14(15), pages 1-19, August.

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