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Combining fuzzy MCDM with Kano model and FMEA: a novel 3-phase MCDM method for reliable assessment

Author

Listed:
  • Jia Shao

    (University of Birmingham)

  • Shuya Zhong

    (University of Bath)

  • Mi Tian

    (University of Exeter)

  • Yuanyuan Liu

    (Shandong University of Finance and Economics)

Abstract

In the circular economy era, this study addresses sustainable business management for high-investment and long-life cycle projects, where accurate and reliable assessments are crucial to ensuring successful outcomes. The objective is to elevate the reliability of assessments by introducing a novel decision-making method that, for the first time, integrates time-based satisfaction and risk factors simultaneously. We propose a 3-phase multi-criteria decision-making (MCDM) method, which combines fuzzy MCDM comprising fuzzy analytic hierarchy process and fuzzy technique for order preference by similarity to ideal situation (TOPSIS), Kano model, and failure mode and effects analysis (FMEA) techniques, to handle reliable assessments effectively. Our method is distinct in its incorporation of time-based satisfaction weights derived from Kano model, emphasising decision-makers’ criteria preferences in short, medium, and long terms. Furthermore, we introduce risk-discounted weights by using FMEA to tune criteria scores. The method is validated via a numerical example case, assessing and selecting the most appropriate hydrogen storage method for lightweight vehicles. The results suggest that cryo-compressed hydrogen tank with 250–350 bar and at cryogenic temperature is the most suitable storage method. Health & safety with a weight of 0.5318 emerges as the most important main criterion, and permeation & leakage with a weight of 0.4008 is the most important sub-criterion. To bridge the gap between theoretical research and practical application, we transform the new method into a user-friendly web application with graphical user interface (GUI). End-users can conduct reliable assessments and foster sustainable business management through informed decision-making.

Suggested Citation

  • Jia Shao & Shuya Zhong & Mi Tian & Yuanyuan Liu, 2024. "Combining fuzzy MCDM with Kano model and FMEA: a novel 3-phase MCDM method for reliable assessment," Annals of Operations Research, Springer, vol. 342(1), pages 725-765, November.
    • Handle: RePEc:spr:annopr:v:342:y:2024:i:1:d:10.1007_s10479-024-05878-w
    DOI: 10.1007/s10479-024-05878-w
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    References listed on IDEAS

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    1. Weizhong Wang & Xinwang Liu & Jindong Qin & Shuli Liu, 2019. "An extended generalized TODIM for risk evaluation and prioritization of failure modes considering risk indicators interaction," IISE Transactions, Taylor & Francis Journals, vol. 51(11), pages 1236-1250, November.
    2. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    3. Simon Li & Wei Zeng, 2016. "Risk analysis for the supplier selection problem using failure modes and effects analysis (FMEA)," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1309-1321, December.
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    5. Laura C. Aguilar Esteva & Akshat Kasliwal & Michael S. Kinzler & Hyung Chul Kim & Gregory A. Keoleian, 2021. "Circular economy framework for automobiles: Closing energy and material loops," Journal of Industrial Ecology, Yale University, vol. 25(4), pages 877-889, August.
    6. Sarah Ben Amor & Fateh Belaid & Ramzi Benkraiem & Boumediene Ramdani & Khaled Guesmi, 2023. "Multi-criteria classification, sorting, and clustering: a bibliometric review and research agenda," Annals of Operations Research, Springer, vol. 325(2), pages 771-793, June.
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