Title :
Optimal maintenance-policies for deteriorating systems under various maintenance strategies
Author :
Lam, C. Teresa ; Yeh, R.H.
Author_Institution :
Dept. of Ind. & Oper. Eng., Michigan Univ., Ann Arbor, MI, USA
fDate :
9/1/1994 12:00:00 AM
Abstract :
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
Keywords :
inspection; iterative methods; maintenance engineering; reliability theory; age replacement; continuous inspection; continuous-time Markov deteriorating systems; deteriorating systems; failure replacement; iterative algorithms; maintenance strategies; mean long-run cost-rate; operating cost-rate increase; optimal maintenance-policies; periodic inspection; replacement cost; replacement time; sequential inspection; Algorithm design and analysis; Cost function; Electric shock; Inspection; Iterative algorithms; Maintenance; Manufacturing systems; Markov processes; Nonlinear dynamical systems; Reliability theory;
Journal_Title :
Reliability, IEEE Transactions on