Failure mode and effect analysis considering the fairness-oriented consensus of a large group with core-periphery structure
Failure mode and effect analysis considering the fairness-oriented consensus of a large group with core-periphery structure
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考虑核心-外围结构大群体公平共识的失效模式与影响分析
DOI：
10.1016/j.ress.2021.107821
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发表时间：
2021-05
影响因子：
8.1
通讯作者：
Huchang Liao
中科院分区：
文献类型：
--
作者：
Ming Tang;Huchang Liao
随着过程和产品的日益复杂，由于其多学科和跨职能的性质，失效模式和影响分析（FMEA）实践可能会在分布式环境中与大量FMEA成员一起实施。在本研究中，我们引入一个考虑FMEA成员社会关系的FMEA大群体决策模型。首先，采用群结构检测方法。降低大群体的维度，从中尺度的角度可以发现一个核心-边缘结构和一个社区结构。然后，引入授权机制，将外围FMEA成员的意见分配给核心FMEA成员的意见。接下来，我们提出了一种以公平为导向的共识方法，考虑到共识达成过程中变化的公平分配。一个关于的说明性例子。以光伏系统为例，验证了该模型的适用性和有效性。本文的创新之处在于探讨了社交网络环境下FMEA群体的结构特征管理。我们为复杂的可靠性工程问题提供了有效决策的见解。
With the increasing complexity of processes and products, and because of the multi-disciplinary and crossfunctional 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.
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DOI：
10.1016/j.ress.2018.12.030
发表时间：
2019-05
期刊：
Reliab. Eng. Syst. Saf.
影响因子：
--
作者：
S. K. Bhattacharyya;A. S. Cheliyan
通讯作者：
S. K. Bhattacharyya;A. S. Cheliyan
影响因子：
10.4
作者：
Mauro Villarini;V. Cesarotti;L. Alfonsi;Vito Introna
通讯作者：
Mauro Villarini;V. Cesarotti;L. Alfonsi;Vito Introna
使用概率语言术语集和 TODIM 方法改进 FMEA 可靠性模型
影响因子：
4.8
作者：
Huang, Jia;Liu, Hu-Chen;Song, Ming-Shun
通讯作者：
Song, Ming-Shun
影响因子：
7.9
作者：
Gao, Pengqun;Huang, Jing;Xu, Yejun
通讯作者：
Xu, Yejun
DOI：
10.1002/9783527627981.ch2
发表时间：
2009-08
期刊：
--
影响因子：
--
作者：
S. Thurner
通讯作者：
S. Thurner