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Consensus building in linguistic failure mode and effect analysis: A perspective based on prospect theory
Quality and Reliability Engineering International ( IF 2.2 ) Pub Date : 2020-08-02 , DOI: 10.1002/qre.2714
Chuanhao Fan 1 , Yan Zhu 1 , Wei Li 1 , Hengjie Zhang 1, 2
Affiliation  

As one of many scientific and efficient risk assessment approaches, failure mode and effect analysis (FMEA) has been widely applied across various fields. There are two core issues in the FMEA approach: identifying the latent failure modes of the systems, products, processes and services and the risk assessment and the prioritization of those failure modes. Then, corrective measures must be taken in a timely and accessible manner to prevent the occurrence of failure modes with higher risk levels. In practice, several FMEA members from different fields are usually involved in the FMEA implementation process; the risk assessment information given by them may vary greatly. Therefore, it is necessary to integrate a consensus‐building process into FMEA. Meanwhile, the psychological behaviours of FMEA members have had a great impact on the final prioritization of failure modes. Prospect theory is an effective approach for describing individual psychological behaviours. Therefore, this paper presents a novel linguistic FMEA approach to address the consensus issue from the perspective of prospect theory. In the proposed linguistic FMEA approach, a consensus measurement approach based on prospect theory is constructed. Then, a novel feedback adjustment mechanism is designed in which FMEA members can adjust not only their assessment information but also their reference points to achieve an acceptable consensus degree. Eventually, a practical application is used to show the validity and applicability of the proposed linguistic FMEA approach.

中文翻译:

语言失败模式下的共识构建和效果分析:基于前景理论的视角

作为许多科学有效的风险评估方法之一,故障模式和效果分析(FMEA)已广泛应用于各个领域。FMEA方法有两个核心问题:确定系统,产品,过程和服务的潜在故障模式以及风险评估和这些故障模式的优先级。然后,必须及时采取纠正措施,以防止发生具有较高风险水平的故障模式。在实践中,FMEA实施过程通常涉及不同领域的FMEA成员。他们提供的风险评估信息可能相差很大。因此,有必要将建立共识的过程整合到FMEA中。与此同时,FMEA成员的心理行为对故障模式的最终优先次序产生了很大影响。前景理论是描述个人心理行为的有效方法。因此,本文提出了一种新颖的语言FMEA方法,从前景理论的角度解决共识问题。在所提出的语言FMEA方法中,构建了基于前景理论的共识度量方法。然后,设计了一种新颖的反馈调整机制,在该机制中,FMEA成员不仅可以调整其评估信息,而且可以调整其参考点,以达到可接受的共识度。最终,通过实际应用来证明所提出的语言FMEA方法的有效性和适用性。预期理论是描述个人心理行为的有效方法。因此,本文提出了一种新颖的语言FMEA方法,从前景理论的角度解决共识问题。在所提出的语言FMEA方法中,构建了基于前景理论的共识度量方法。然后,设计了一种新颖的反馈调整机制,在该机制中,FMEA成员不仅可以调整其评估信息,而且可以调整其参考点,以达到可接受的共识度。最终,通过实际应用来证明所提出的语言FMEA方法的有效性和适用性。预期理论是描述个人心理行为的有效方法。因此,本文提出了一种新颖的语言FMEA方法,从前景理论的角度解决共识问题。在所提出的语言FMEA方法中,构建了基于前景理论的共识度量方法。然后,设计了一种新颖的反馈调整机制,在该机制中,FMEA成员不仅可以调整其评估信息,而且可以调整其参考点,以达到可接受的共识度。最终,通过实际应用来证明所提出的语言FMEA方法的有效性和适用性。在所提出的语言FMEA方法中,构建了基于前景理论的共识度量方法。然后,设计了一种新颖的反馈调整机制,在该机制中,FMEA成员不仅可以调整其评估信息,还可以调整其参考点,以达到可接受的共识度。最终,通过实际应用来证明所提出的语言FMEA方法的有效性和适用性。在所提出的语言FMEA方法中,构建了基于前景理论的共识度量方法。然后,设计了一种新颖的反馈调整机制,在该机制中,FMEA成员不仅可以调整其评估信息,而且可以调整其参考点,以达到可接受的共识度。最终,通过实际应用来证明所提出的语言FMEA方法的有效性和适用性。
更新日期:2020-08-02
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