Failure mode and effects analysis by data envelopment analysis

被引：149

作者：

Chin, Kwai-Sang ^{[2
]}

Wang, Ying-Ming ^{[1
,2
]}

Poon, Gary Ka Kwai ^{[2
]}

Yang, Jian-Bo ^{[3
]}

机构：

[1] Fuzhou Univ, Sch Publ Adm, Fuzhou 350002, Peoples R China

[2] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon Tong, Hong Kong, Peoples R China

[3] Univ Manchester, Manchester Business Sch, Manchester M15 6PB, Lancs, England

来源：

DECISION SUPPORT SYSTEMS | 2009年 / 48卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Failure mode and effects analysis; Data envelopment analysis; Overall risks; Risk priority ranking; DECISION-SUPPORT; FUZZY INFERENCE; RISK ANALYSIS; EFFICIENCY; SYSTEM; PRIORITIZATION; FMEA;

D O I：

10.1016/j.dss.2009.08.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：246 / 256

页数：11

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