用于液化天然气运输船风险评估的具有个性化个体语义的集体 FMEA 技术

IF 3.6 4区 管理学 Q2 MANAGEMENT Group Decision and Negotiation Pub Date : 2023-12-27 DOI:10.1007/s10726-023-09866-6
Weidong Jin, Mingshuo Cao, Tiantian Gai, Jing Fang, Mi Zhou, Jian Wu
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引用次数: 0

摘要

由于液化天然气(LNG)运输船承载货物的特殊性,其风险评估一直是研究的重点。因此,本文首先通过文献分析系统地总结了十六种失效模式,并基于失效模式及影响分析(FMEA)技术构建了液化天然气运输船风险评估系统。其次,本文将个性化个体语义(PIS)模型引入专家对液化天然气运输船的风险评价信息中,避免了不同专家语言尺度不一致的问题。此外,本文还将 PIS 模型与群体共识技术相结合,以缓解不同专家之间的矛盾,并获得不同失效模式的权重。最后,结合客观环境数据和专家主观评价,得到了液化天然气船的风险排序,并进行了对比分析和敏感性分析,进一步证明了所提方法的基本特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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.

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来源期刊
CiteScore
5.70
自引率
6.70%
发文量
32
期刊介绍: The idea underlying the journal, Group Decision and Negotiation, emerges from evolving, unifying approaches to group decision and negotiation processes. These processes are complex and self-organizing involving multiplayer, multicriteria, ill-structured, evolving, dynamic problems. Approaches include (1) computer group decision and negotiation support systems (GDNSS), (2) artificial intelligence and management science, (3) applied game theory, experiment and social choice, and (4) cognitive/behavioral sciences in group decision and negotiation. A number of research studies combine two or more of these fields. The journal provides a publication vehicle for theoretical and empirical research, and real-world applications and case studies. In defining the domain of group decision and negotiation, the term `group'' is interpreted to comprise all multiplayer contexts. Thus, organizational decision support systems providing organization-wide support are included. Group decision and negotiation refers to the whole process or flow of activities relevant to group decision and negotiation, not only to the final choice itself, e.g. scanning, communication and information sharing, problem definition (representation) and evolution, alternative generation and social-emotional interaction. Descriptive, normative and design viewpoints are of interest. Thus, Group Decision and Negotiation deals broadly with relation and coordination in group processes. Areas of application include intraorganizational coordination (as in operations management and integrated design, production, finance, marketing and distribution, e.g. as in new products and global coordination), computer supported collaborative work, labor-management negotiations, interorganizational negotiations, (business, government and nonprofits -- e.g. joint ventures), international (intercultural) negotiations, environmental negotiations, etc. The journal also covers developments of software f or group decision and negotiation.
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