Improving Risk Evaluation in FMEA With Cloud Model and Hierarchical TOPSIS Method

Failure mode and effect analysis (FMEA) is a prospective reliability analysis technique used in a wide range of industries for enhancing the safety and reliability of systems, products, processes, and services. However, the conventional FMEA method has been criticized for inherent drawbacks that lim...

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Published in:	IEEE transactions on fuzzy systems Vol. 27; no. 1; pp. 84 - 95
Main Authors:	Liu, Hu-Chen, Wang, Li-En, Li, ZhiWu, Hu, Yu-Ping
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Cloud model Clouds Computational modeling Decision making Empirical analysis Failure analysis failure mode and effect analysis (FMEA) Failure modes hierarchical technique for order of preference by similarity to ideal solution (TOPSIS) Linguistics Product safety Reliability Reliability analysis Risk assessment Risk management Safety Uncertainty
ISSN:	1063-6706, 1941-0034
Online Access:	Get full text
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Abstract	Failure mode and effect analysis (FMEA) is a prospective reliability analysis technique used in a wide range of industries for enhancing the safety and reliability of systems, products, processes, and services. However, the conventional FMEA method has been criticized for inherent drawbacks that limit effectiveness and applications. In this paper, a novel integrated FMEA model based on cloud model theory and hierarchical technique for order of preference by similarity to ideal solution (TOPSIS) method is developed to assess and rank the risk of failure modes. First, individual linguistic assessments of failure modes are converted into normal clouds. Then, FMEA team members' weights are calculated based on the subjective weighting information. Finally, the risk priority of failure modes is determined by using the cloud hierarchical TOPSIS. The newly proposed FMEA method combines the advantages of the cloud model in coping with fuzziness and randomness of linguistic assessments and the merits of hierarchical TOPSIS in solving complex decision making problems. Two empirical examples to illustrate the feasibility and effectiveness of the proposed FMEA are presented together with a comparison to existing methods.
AbstractList	Failure mode and effect analysis (FMEA) is a prospective reliability analysis technique used in a wide range of industries for enhancing the safety and reliability of systems, products, processes, and services. However, the conventional FMEA method has been criticized for inherent drawbacks that limit effectiveness and applications. In this paper, a novel integrated FMEA model based on cloud model theory and hierarchical technique for order of preference by similarity to ideal solution (TOPSIS) method is developed to assess and rank the risk of failure modes. First, individual linguistic assessments of failure modes are converted into normal clouds. Then, FMEA team members' weights are calculated based on the subjective weighting information. Finally, the risk priority of failure modes is determined by using the cloud hierarchical TOPSIS. The newly proposed FMEA method combines the advantages of the cloud model in coping with fuzziness and randomness of linguistic assessments and the merits of hierarchical TOPSIS in solving complex decision making problems. Two empirical examples to illustrate the feasibility and effectiveness of the proposed FMEA are presented together with a comparison to existing methods.
Author	Wang, Li-En Li, ZhiWu Liu, Hu-Chen Hu, Yu-Ping
Author_xml	– sequence: 1 givenname: Hu-Chen orcidid: 0000-0003-4566-2107 surname: Liu fullname: Liu, Hu-Chen email: huchenliu@shu.edu.cn organization: School of Management, Shanghai University, Shanghai, China – sequence: 2 givenname: Li-En orcidid: 0000-0002-2809-9036 surname: Wang fullname: Wang, Li-En email: lienwang@foxmail.com organization: Faculty of Economics and Business, Research Center for Operations Management, Leuven, Belgium – sequence: 3 givenname: ZhiWu orcidid: 0000-0003-1547-5503 surname: Li fullname: Li, ZhiWu email: zhwli@xidian.edu.cn organization: Institute of Systems Engineering, Macau University of Science and Technology, Macau – sequence: 4 givenname: Yu-Ping orcidid: 0000-0002-5176-7389 surname: Hu fullname: Hu, Yu-Ping email: yupinghushu@foxmail.com organization: School of Management, Shanghai University, Shanghai, China
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Snippet	Failure mode and effect analysis (FMEA) is a prospective reliability analysis technique used in a wide range of industries for enhancing the safety and...
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SubjectTerms	Cloud model Clouds Computational modeling Decision making Empirical analysis Failure analysis failure mode and effect analysis (FMEA) Failure modes hierarchical technique for order of preference by similarity to ideal solution (TOPSIS) Linguistics Product safety Reliability Reliability analysis Risk assessment Risk management Safety Uncertainty
Title	Improving Risk Evaluation in FMEA With Cloud Model and Hierarchical TOPSIS Method
URI	https://ieeexplore.ieee.org/document/8423656 https://www.proquest.com/docview/2162809907
Volume	27
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