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author:

Liu, Hu-Chen (Liu, Hu-Chen.) [1] | Chen, Xu-Qi (Chen, Xu-Qi.) [2] | Duan, Chun-Yan (Duan, Chun-Yan.) [3] | Wang, Ying-Ming (Wang, Ying-Ming.) [4] (Scholars:王应明)

Indexed by:

EI Scopus SCIE

Abstract:

Failure mode and effect analysis (FMEA) is a proactive reliability management technique extensively utilized in a variety of fields. To enhance the effectiveness of FMEA, a great many multi-criteria decision making (MCDM) methods have been applied for properly evaluating the risk of failure modes over the past two decades. However, there is a lack of study concerning systematic literature review and classification of the researches on this topic. This article aims to provide a comprehensive review of the FMEA studies using MCDM approaches for evaluation and prioritization of failure modes. To do so, a total of 169 journal papers extracted from the online database over the period of 1998-2018 were selected and reviewed. These publications were classified into 10 categories according to the used MCDM methods, and analyzed in regard to the risk factors, risk factor weighting methods, and risk assessment methods in FMEA. Furthermore, a bibliometric analysis was performed based on the frequency of MCDM methods, number of citations, year of publication, appeared journals, country of origin and application areas. This research supports academics and practitioners in effectively adopting MCDM methods to overcome the deficiencies of the traditional FMEA and provides an insight into its state-of-the-art.

Keyword:

Failure mode and effect analysis (FMEA) Literature review Multi-criteria decision making (MCDM) Reliability management Risk analysis

Community:

  • [ 1 ] [Liu, Hu-Chen]Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China
  • [ 2 ] [Chen, Xu-Qi]Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China
  • [ 3 ] [Duan, Chun-Yan]Tongji Univ, Sch Econ & Managemen4, Shanghai 200092, Peoples R China
  • [ 4 ] [Wang, Ying-Ming]Fuzhou Univ, Decis Sci Inst, Fuzhou 350116, Fujian, Peoples R China

Reprint 's Address:

  • [Duan, Chun-Yan]Tongji Univ, Sch Econ & Managemen4, Shanghai 200092, Peoples R China

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Source :

COMPUTERS & INDUSTRIAL ENGINEERING

ISSN: 0360-8352

Year: 2019

Volume: 135

Page: 881-897

4 . 1 3 5

JCR@2019

6 . 7 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:162

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 152

SCOPUS Cited Count: 177

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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