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FMEA에서 주기적인 고장원인 감시 하의 기대손실 모형

An Expected Loss Model for FMEA under Periodic Monitoring of Failure Causes

  • 권혁무 (부경대학교 시스템경영공학부) ;
  • 홍성훈 (전북대학교 산업정보시스템공학과) ;
  • 이민구 (충남대학교 정보통계학과)
  • Kwon, Hyuck Moo (Department of Systems and Management Engineering, Pukyong National University) ;
  • Hong, Sung-Hoon (Department of Industrial and Information Systems Engineering, Research Center of Industrial Technology, Chonbuk National University) ;
  • Lee, Min Koo (Department of Information and Statistics, Chungnam National University)
  • 투고 : 2012.08.29
  • 심사 : 2012.12.24
  • 발행 : 2013.04.15

초록

In FMEA, occurrence and detectability are not related to only failure modes itself but also their causes. It is assumed that any failure occurs after at least one cause corresponding to failure occurs in advance. Occurrence of the failure mode is described by occurrence time of its cause and elapsed time to the actual failure. Under the periodic monitoring plan, the monitoring interval is another factor to determine the detectability and occurrence of each failure mode. When a failure cause occurs, the failure does not occur if the cause is identified and remedied before it actually occurs. Under this situation, we construct an economic model for prioritizing failure modes. The loss function is based on the unfulfilled mission period. We also provide an optimal monitoring plan with an illustrative example.

키워드

참고문헌

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  7. Narayanagounder, S. and Karuppusami, G. (2009), A New Approach for Prioritizing Failure Mode in Design FMEA Using Anova, World Academy of Science, Engineering, and technology, 49, 524-531.
  8. Narayanagounder, S. and Karuppusami, G. (2009), A New Approach for Prioritizing Failure Mode in Design FMEA Using Anova, World Academy of Science, Engineering, and technology, 49, 524-531.
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피인용 문헌

  1. Comments on : An Expected Loss Model for FMEA under Periodic Monitoring of Failure Causes vol.40, pp.3, 2014, https://doi.org/10.7232/JKIIE.2014.40.3.321
  2. Risk Evaluation in FMEA when the Failure Severity Depends on the Detection Time vol.31, pp.4, 2016, https://doi.org/10.14346/JKOSOS.2016.31.4.136