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New Approach for Quality Function Deployment Based on Linguistic Distribution Assessments and CRITIC Method

Author

Listed:
  • Ling-Xiang Mao

    (School of Economics and Management, Anhui Normal University, Wuhu 241002, China)

  • Jing Lan

    (School of Economics and Management, Anhui Normal University, Wuhu 241002, China)

  • Anqi Chen

    (School of Performance and Cultural Industries, University of Leeds, Woodhouse LS2 9JT, UK)

  • Hua Shi

    (School of Materials, Shanghai Dianji University, Shanghai 201306, China)

  • Hu-Chen Liu

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

Abstract

Quality function deployment (QFD) is a customer-oriented quality management tool used to maximize customer satisfaction by considering the correlations between customer requirements and engineering characteristics. However, the conventional QFD method exhibits some shortcomings when used in real situations, especially in terms of correlation evaluation and engineering characteristic ranking. Therefore, the objective of this study is to propose a new QFD approach based on linguistic distribution assessments and the CRiteria Importance Through Inter-Criteria Correlation (CRITIC) method to improve the effectiveness of the traditional QFD. Specifically, linguistic distribution assessments are utilized to describe the relationships between customer requirements and engineering characteristics. The CRITIC method is extended and used to determine the ranking orders of the engineering characteristics identified in QFD. To demonstrate the feasibility and practicality of the proposed QFD, a case example regarding the performance management system’s development is presented. It is shown that the QFD approach proposed in this paper can not only represent experts’ uncertain linguistic relationship evaluations flexibly but also determine more reliable importance rankings of engineering characteristics in production planning.

Suggested Citation

  • Ling-Xiang Mao & Jing Lan & Anqi Chen & Hua Shi & Hu-Chen Liu, 2025. "New Approach for Quality Function Deployment Based on Linguistic Distribution Assessments and CRITIC Method," Mathematics, MDPI, vol. 13(2), pages 1-16, January.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:2:p:240-:d:1565377
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    References listed on IDEAS

    as
    1. 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.
    2. Moktadir, Md Abdul & Ren, Jingzheng, 2024. "Global semiconductor supply chain resilience challenges and mitigation strategies: A novel integrated decomposed fuzzy set Delphi, WINGS and QFD model," International Journal of Production Economics, Elsevier, vol. 273(C).
    3. Chan, Lai-Kow & Wu, Ming-Lu, 2002. "Quality function deployment: A literature review," European Journal of Operational Research, Elsevier, vol. 143(3), pages 463-497, December.
    4. 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).
    5. Wang, Weizhong & Chen, Yu & Wang, Yi & Deveci, Muhammet & Moslem, Sarbast & Coffman, D'Maris, 2024. "Unveiling the implementation barriers to the digital transformation in the energy sector using the Fermatean cubic fuzzy method," Applied Energy, Elsevier, vol. 360(C).
    6. Chuanhao Fan & Jiaxin Wang & Yan Zhu & Hengjie Zhang, 2024. "A Consensus-Based 360 Degree Feedback Evaluation Method with Linguistic Distribution Assessments," Mathematics, MDPI, vol. 12(12), pages 1-20, June.
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