Failure mode and effects analysis by data envelopment analysis

Kwai Sang Chin; Ying Ming Wang; Gary Ka Kwai Poon; Jian Bo Yang

doi:10.1016/j.dss.2009.08.005

Failure mode and effects analysis by data envelopment analysis

Kwai Sang Chin, Ying Ming Wang, Gary Ka Kwai Poon, Jian Bo Yang

Research output: Contribution to journal › Article › peer-review

Abstract

Failure mode and effects analysis (FMEA) is a method that examines potential failures in products or processes and has been used in many quality management systems. One important issue of FMEA is the determination of the risk priorities of failure modes. In this paper we propose an FMEA which uses data envelopment analysis (DEA), a well-known performance measurement tool, to determine the risk priorities of failure modes. The proposed FMEA measures the maximum and minimum risks of each failure mode. The two risks are then geometrically averaged to measure the overall risks of failure modes. The risk priorities are determined in terms of overall risks rather than maximum or minimum risks only. Two numerical examples are provided and examined using the proposed FMEA to show its potential applications and benefits. © 2009 Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	246-256
Number of pages	10
Journal	Decision Support Systems
Volume	48
Issue number	1
DOIs	https://doi.org/10.1016/j.dss.2009.08.005
Publication status	Published - Jan 2009

Keywords

Data envelopment analysis
Failure mode and effects analysis
Overall risks
Risk priority ranking

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10.1016/j.dss.2009.08.005

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title = "Failure mode and effects analysis by data envelopment analysis",

abstract = "Failure mode and effects analysis (FMEA) is a method that examines potential failures in products or processes and has been used in many quality management systems. One important issue of FMEA is the determination of the risk priorities of failure modes. In this paper we propose an FMEA which uses data envelopment analysis (DEA), a well-known performance measurement tool, to determine the risk priorities of failure modes. The proposed FMEA measures the maximum and minimum risks of each failure mode. The two risks are then geometrically averaged to measure the overall risks of failure modes. The risk priorities are determined in terms of overall risks rather than maximum or minimum risks only. Two numerical examples are provided and examined using the proposed FMEA to show its potential applications and benefits. {\textcopyright} 2009 Elsevier B.V. All rights reserved.",

keywords = "Data envelopment analysis, Failure mode and effects analysis, Overall risks, Risk priority ranking",

author = "Chin, {Kwai Sang} and Wang, {Ying Ming} and Poon, {Gary Ka Kwai} and Yang, {Jian Bo}",

year = "2009",

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doi = "10.1016/j.dss.2009.08.005",

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journal = "Decision Support Systems",

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T1 - Failure mode and effects analysis by data envelopment analysis

AU - Chin, Kwai Sang

AU - Wang, Ying Ming

AU - Poon, Gary Ka Kwai

AU - Yang, Jian Bo

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Y1 - 2009/1

N2 - Failure mode and effects analysis (FMEA) is a method that examines potential failures in products or processes and has been used in many quality management systems. One important issue of FMEA is the determination of the risk priorities of failure modes. In this paper we propose an FMEA which uses data envelopment analysis (DEA), a well-known performance measurement tool, to determine the risk priorities of failure modes. The proposed FMEA measures the maximum and minimum risks of each failure mode. The two risks are then geometrically averaged to measure the overall risks of failure modes. The risk priorities are determined in terms of overall risks rather than maximum or minimum risks only. Two numerical examples are provided and examined using the proposed FMEA to show its potential applications and benefits. © 2009 Elsevier B.V. All rights reserved.

AB - Failure mode and effects analysis (FMEA) is a method that examines potential failures in products or processes and has been used in many quality management systems. One important issue of FMEA is the determination of the risk priorities of failure modes. In this paper we propose an FMEA which uses data envelopment analysis (DEA), a well-known performance measurement tool, to determine the risk priorities of failure modes. The proposed FMEA measures the maximum and minimum risks of each failure mode. The two risks are then geometrically averaged to measure the overall risks of failure modes. The risk priorities are determined in terms of overall risks rather than maximum or minimum risks only. Two numerical examples are provided and examined using the proposed FMEA to show its potential applications and benefits. © 2009 Elsevier B.V. All rights reserved.

KW - Data envelopment analysis

KW - Failure mode and effects analysis

KW - Overall risks

KW - Risk priority ranking

U2 - 10.1016/j.dss.2009.08.005

DO - 10.1016/j.dss.2009.08.005

M3 - Article

SN - 0167-9236

VL - 48

SP - 246

EP - 256

JO - Decision Support Systems

JF - Decision Support Systems

IS - 1

ER -

Failure mode and effects analysis by data envelopment analysis

Abstract

Keywords

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