Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.dss.2009.08.005 | Decision Support Systems |
Keywords | Field | DocType |
risk priority ranking,effects analysis,failure mode and effects analysis,failure mode,data envelopment analysis,risk priority,potential application,proposed fmea,potential failure,overall risks,important issue,overall risk,minimum risk,data envelope analysis,failure mode and effect analysis,quality management system | Failure mode and effects analysis,Data mining,Quality management system,Computer science,Operations research,Risk analysis (engineering),Risk management,Performance measurement,Data envelopment analysis,Quality management | Journal |
Volume | Issue | ISSN |
48 | 1 | Decision Support Systems |
Citations | PageRank | References |
35 | 1.53 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kwai-Sang Chin | 1 | 1033 | 54.69 |
| Ying-Ming Wang | 2 | 3256 | 166.96 |
| Gary Ka Kwai Poon | 3 | 209 | 9.05 |
| Jian-Bo Yang | 4 | 3832 | 203.05 |