Abstract
In this paper, the optimum user’s maintenance strategy of a repairable system for free preventive maintenance (PM) warranty policy is proposed. This study considers predicted maintenance due to the system failure is likely occurring and requires repair during periodic maintenance time. Periodic maintenance can be classified as one of three types — imperfect PM, perfect PM and predicted maintenance. The probability that periodic maintenance is perfect PM or predicted maintenance depends on the number of imperfect maintenance operations conducted since the previous renewal cycle. The sellers offer free perfect and imperfect PM warranty. An optimal periodic maintenance time is determined by minimizing the total cost. Some special cases, implemented with machine learning and human learning, are given to demonstrate the feasibility of the proposed strategy. A numerical example is given.
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