文章基本信息

标题：A hybrid of fuzzy FMEA-AHP to determine factors affecting alternator failure causes
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作者：Reza Kiani Aslani Hamid Reza Feili ; Hassan Javanshir
期刊名称：Management Science Letters
印刷版ISSN：1923-9335
电子版ISSN：1923-9343
出版年度：2014
卷号：4
期号：9
页码：1981-1984
DOI：10.5267/j.msl.2014.8.024
出版社：Growing Science
摘要：This paper presents a method to determine factors influencing alternator failure causes. Failure Mode and Effects Analysis (FMEA) is one of the first systematic techniques for failure analysis based on three factors including Probability (P), Severity (S) and Detection (D). Traditional FMEA method considers equal weights for all three factors, however, in read-world cases; one may wish to consider various weights. The proposed study develops a mathematical model to determine optimal weights based on analytical hierarchy process technique. The implementation of the proposed study has been demonstrated for a read-world case study of alternator failure causes.
关键词：FMEA; AHP; Alternator failure; Optimal weight