Nonperiodic preventive maintenance for repairable systems

Nonperiodic preventive maintenance for repairable systems

0.00 Avg rating0 Votes
Article ID: iaor20106681
Volume: 57
Issue: 7
Start Page Number: 615
End Page Number: 625
Publication Date: Oct 2010
Journal: Naval Research Logistics
Authors: ,
Keywords: preventative maintenance
Abstract:

As a complex system with multiple components usually deteriorates with age, preventive maintenance (PM) is often performed to keep the system functioning in a good state to prolong its effective age. In this study, a nonhomogeneous Poisson process with a power law failure intensity is used to describe the deterioration of a repairable system, and the optimal nonperiodic PM schedule can be determined to minimize the expected total cost per unit time. However, since the determination of such optimal PM policies may involve numerous uncertainties, which typically make the analyses difficult to perform because of the scarcity of data, a Bayesian decision model, which utilizes all available information effectively, is also proposed for determining the optimal PM strategies. A numerical example with a real failure data set is used to illustrate the effectiveness of the proposed approach. The results show that the optimal schedules derived by Bayesian approach are relatively more conservative than that for non‐Bayesian approach because of the uncertainty of the intensity function, and if the intensity function are updated using the collected data set, which indicates more severe deterioration than the prior belief, replacing the entire system instead of frequent PM activities before serious deterioration is suggested.

Reviews

Required fields are marked *. Your email address will not be published.