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首页> 外文期刊>Reliability Engineering & System Safety >Failure mode and effect analysis considering the fairness-oriented consensus of a large group with core-periphery structure
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Failure mode and effect analysis considering the fairness-oriented consensus of a large group with core-periphery structure

机译：考虑到核心周边结构的大型团体的公平型共识，失败模式和效果分析

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摘要

With the increasing complexity of processes and products, and because of the multi-disciplinary and cross-functional nature, a failure mode and effect analysis (FMEA) practice may be implemented in a distributed setting with a large group of FMEA members. In this study, we introduce a large group decision making model for FMEA considering social relationships of FMEA members. Firstly, a group structure detection method is used to reduce the dimension of the large group, which can find a core-periphery structure and a community structure from a meso-scale perspective. Then, a delegation mechanism is introduced to allocate opinions of periphery FMEA members into those of core FMEA members. Next, we propose a fairness-oriented consensus approach considering a fair distribution of changes in the consensus reaching process. An illustrative example regarding photovoltaic systems is provided to demonstrate the applicability and effectiveness of our proposed model. The key and novel contribution of our paper is to explore how to manage the structure characteristic for FMEA groups under the social network setting. We provide an insight of efficient decision making for complex reliability engineering problems.
机译：随着过程和产品的复杂性越来越复杂，并且由于多学科和跨官能性质，故障模式和效果分析（FMEA）实践可以在具有大量FMEA成员的分布式设置中实现。在这项研究中，考虑到FMEA成员的社会关系，为FMEA介绍了一个大型群组决策模型。首先，使用组结构检测方法来减少大组的尺寸，其可以从中间级视角找到核心周边结构和社区结构。然后，引入了一个代表机制，以将外围FMEA成员的意见分配到核心FMEA成员中的意见。接下来，考虑到达成共识进程的公平分配，提出了一项公平的共识方法。提供了关于光伏系统的说明性示例，以证明我们提出的模型的适用性和有效性。我们的论文的关键和新颖贡献是探讨如何在社交网络设置下管理FMEA组的结构特征。我们对复杂可靠性工程问题的有效决策提供了洞察力。

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