Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
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Design of a Condition-based Maintenance Policy Using a Surrogate Variable

대용변수를 이용한 상태기반 보전정책의 설계

  • Kwon, Hyuck Moo (Department of Systems Management and Engineering, Pukyong National University) ;
  • Hong, Sung Hoon (Department of Industrial and Information Systems Engineering, Jeonbuk National University) ;
  • Lee, Min Koo (Department of Information and Statistics, Chungnam National University)
  • 권혁무 (부경대학교 시스템경영공학부) ;
  • 홍성훈 (전북대학교 산업정보시스템공학과) ;
  • 이민구 (충남대학교 정보통계학과)
  • Received : 2021.06.30
  • Accepted : 2021.09.02
  • Published : 2021.09.30
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Abstract

Purpose: We provide a condition-based maintenance policy where a surrogate variable is used for monitoring system performance. We constructed a risk function by taking into account the risk and losses accompanied with erroneous decisions. Methods: Assuming a unique degradation process for the performance variable and its specific relationship with the surrogate variable, the maintenance policy is determined. A risk function is developed on the basis of producer's and consumer's risks accompanied with each decision. With a strategic safety factor considered, the optimal threshold value for the surrogate variable is determined based on the risk function. Results: The condition-based maintenance is analyzed from the point of risk. With an assumed safety consideration, the optimal threshold value of the surrogate variable is provided for taking a maintenance action. The optimal solution cannot be obtained in a closed form. An illustrative numerical example and solution is provided with a source code of R program. Conclusion: The study can be applied to situation where a sensor signal is issued if the system performance begins to degrade gradually and reaches eventually its functional failure. The study can be extended to the case where two or more performance variables are connected to a same surrogate variable. Also estimation of the distribution parameters and risk coefficients should be further studied.

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References

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