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A Calibrated Individual Semantic Based Failure Mode and Effect Analysis and Its Application in Industrial Internet Platform

Author

Listed:
  • Jian Wu

    (School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China)

  • Jun Chen

    (School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China)

  • Wei Liu

    (School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China)

  • Yujia Liu

    (School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China)

  • Changyong Liang

    (School of Management, Hefei University of Technology, Hefei 230009, China)

  • Mingshuo Cao

    (School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China)

Abstract

This article proposes a calibrated individual semantic (CIS)-based failure mode and effect analysis (FMEA) to deal with the risk evaluation of industrial internet platforms (IIP) from four perspectives: network security, data processing capability, equipment performance, and openness. The novelty of the CIS model is based on the deviation between linguistic terms and numerical values to calibrate linguistic scales of decision-makers (DMs). Not only can it handle situations in which different DMs have different understandings of the same term, but it is also suitable for multiple attributes decision-making with uncertainty. In addition, this new FMEA framework considers the consensus-reaching process as a way to eliminate the disagreement among DMs from different departments. Finally, a comparison between the proposed and traditional method is presented to illustrate the advantages of new method.

Suggested Citation

  • Jian Wu & Jun Chen & Wei Liu & Yujia Liu & Changyong Liang & Mingshuo Cao, 2022. "A Calibrated Individual Semantic Based Failure Mode and Effect Analysis and Its Application in Industrial Internet Platform," Mathematics, MDPI, vol. 10(14), pages 1-22, July.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:14:p:2492-:d:865206
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    References listed on IDEAS

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    1. Huang, Jia & You, Jian-Xin & Liu, Hu-Chen & Song, Ming-Shun, 2020. "Failure mode and effect analysis improvement: A systematic literature review and future research agenda," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    2. Tang, Ming & Liao, Huchang, 2021. "Failure mode and effect analysis considering the fairness-oriented consensus of a large group with core-periphery structure," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    3. Faiella, Giuliana & Parand, Anam & Franklin, Bryony Dean & Chana, Prem & Cesarelli, Mario & Stanton, Neville A. & Sevdalis, Nick, 2018. "Expanding healthcare failure mode and effect analysis: A composite proactive risk analysis approach," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 117-126.
    4. Huang, Jia & Li, Zhaojun(Steven) & Liu, Hu-Chen, 2017. "New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 302-309.
    5. Cong-Cong Li & Yuan Gao & Yucheng Dong, 2021. "Managing Ignorance Elements and Personalized Individual Semantics Under Incomplete Linguistic Distribution Context in Group Decision Making," Group Decision and Negotiation, Springer, vol. 30(1), pages 97-118, February.
    6. Deyun Zhou & Yongchuan Tang & Wen Jiang, 2016. "A Modified Model of Failure Mode and Effects Analysis Based on Generalized Evidence Theory," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-11, August.
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    Cited by:

    1. Tiantian Gai & Mingshuo Cao & Francisco Chiclana & Zhen Zhang & Yucheng Dong & Enrique Herrera-Viedma & Jian Wu, 2023. "Consensus-trust Driven Bidirectional Feedback Mechanism for Improving Consensus in Social Network Large-group Decision Making," Group Decision and Negotiation, Springer, vol. 32(1), pages 45-74, February.

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