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A Group FMEA Technique for LNG Carriers Risk Evaluation with Personalized Individual Semantics

Author

Listed:
  • Weidong Jin

    (Shanghai Maritime University)

  • Mingshuo Cao

    (Shanghai Maritime University)

  • Tiantian Gai

    (Shanghai Maritime University)

  • Jing Fang

    (Shanghai Maritime University)

  • Mi Zhou

    (Hefei University of Technology)

  • Jian Wu

    (Shanghai Maritime University)

Abstract

The risk evaluation of liquefied natural gas (LNG) carriers has been the focus of research due to the special characteristics of the goods carried. Therefore, firstly, this article systematically summarizes sixteen failure modes through literature analysis and constructs a risk evaluation system for LNG carriers based on group Failure Modes and Effects Analysis (FMEA) technique. Secondly, this article introduces the personalized individual semantic (PIS) model into the risk evaluation information of LNG carriers by experts to avoid the problem of inconsistent linguistic scales among different experts. Further, this article combines the PIS model with the group consensus technique to ease the contradiction among different experts and to obtain the weights of different failure modes. Finally, the risk ranking of LNG carriers which combines objective environmental data with subjective expert evaluations is obtained, some comparative analysis and sensitivity analysis are conducted to further demonstrate the essential characteristics of the proposed method.

Suggested Citation

  • Weidong Jin & Mingshuo Cao & Tiantian Gai & Jing Fang & Mi Zhou & Jian Wu, 2024. "A Group FMEA Technique for LNG Carriers Risk Evaluation with Personalized Individual Semantics," Group Decision and Negotiation, Springer, vol. 33(5), pages 917-950, October.
    • Handle: RePEc:spr:grdene:v:33:y:2024:i:5:d:10.1007_s10726-023-09866-6
    DOI: 10.1007/s10726-023-09866-6
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    References listed on IDEAS

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    1. Yucheng Dong & Yao Li & Ying He & Xia Chen, 2021. "Preference–Approval Structures in Group Decision Making: Axiomatic Distance and Aggregation," Decision Analysis, INFORMS, vol. 18(4), pages 273-295, December.
    2. Ryuichi Shibasaki & Takashi Usami & Masahiko Furuichi & Hiroyuki Teranishi & Hironori Kato, 2018. "How do the new shipping routes affect Asian liquefied natural gas markets and economy? Case of the Northern Sea Route and Panama Canal expansion," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(4), pages 543-566, May.
    3. Hengjie Zhang & Yucheng Dong & Jing Xiao & Francisco Chiclana & Enrique Herrera-Viedma, 2020. "Personalized individual semantics-based approach for linguistic failure modes and effects analysis with incomplete preference information," IISE Transactions, Taylor & Francis Journals, vol. 52(11), pages 1275-1296, November.
    4. Jing Xiao & Xiuli Wang & Hengjie Zhang, 2022. "Exploring the Ordinal Classifications of Failure Modes in the Reliability Management: An Optimization-Based Consensus Model with Bounded Confidences," Group Decision and Negotiation, Springer, vol. 31(1), pages 49-80, February.
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