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http://dx.doi.org/10.7469/JKSQM.2021.49.3.299

Design of a Condition-based Maintenance Policy Using a Surrogate Variable  

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)
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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.
Keywords
Condition-based Maintenance Policy; Performance Variable; Surrogate Variable; Risk Function;
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