Optimal maintenance-policies for deteriorating systems under various maintenance strategies

This paper presents algorithms for deriving optimal maintenance policies to minimize the mean long-run cost-rate for continuous-time Markov deteriorating systems. The degree of deterioration (except failure) of the system is known only through inspection. The time durations of inspection and replace...

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Bibliographic Details
Published in:IEEE transactions on reliability 1994-09, Vol.43 (3), p.423-430
Main Authors: Lam, C.T., Yeh, R.H.
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Cost function
Electric shock
Inspection
Iterative algorithms
Maintenance
Manufacturing systems
Markov processes
Nonlinear dynamical systems
Reliability theory
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Summary:This paper presents algorithms for deriving optimal maintenance policies to minimize the mean long-run cost-rate for continuous-time Markov deteriorating systems. The degree of deterioration (except failure) of the system is known only through inspection. The time durations of inspection and replacement are nonnegligible. The costs are for inspection, replacement, operation, and downtime (idle). In particular, the replacement time, replacement cost, and operating cost-rate increase as the system deteriorates. Five maintenance strategies are considered-failure replacement, age replacement, sequential inspection, periodic inspection, and continuous inspection. Iterative algorithms are developed to derive the optimal maintenance policy and the corresponding cost rate for each strategy. Under sufficient conditions, structural optimal policies are obtained.< >
ISSN:0018-9529
1558-1721
DOI:10.1109/24.326439