Condition‐Based Maintenance with Imperfect Preventive Repairs for a Deteriorating Production System

Abstract

This paper presents a condition‐based maintenance policy considering aspects of maintenance cost and productivity for a single‐unit deteriorating production system whose condition is periodically monitored. Imperfect preventive maintenance actions, which restore the production system to better than old, are considered with both deterministic and random intervention gains. Moreover, the system is assumed to be repaired only a limited number of times. In order to assess the performance of the proposed maintenance policy, different types of imperfect preventive maintenance cost functions are investigated. A numerical example of a multi‐state production system is finally introduced to illustrate the use and the advantages of the proposed policy. Copyright © 2012 John Wiley & Sons, Ltd.

Condition-based maintenance for multi-component systems using importance measure and predictive information

“…Both periodic and nonperiodic inspections are introduced. For periodic inspections, the fixed time interval between two successive inspections is a decision variable to be optimised in many CBM models (see for instance Do Van & Bérenguer 2012;Ponchet, Fouladirad, & Grall 2011). For non-periodic inspection, the next inspection date for each component has to be determined based on the state of the component at current inspection time (Cui, Xie, & Loh, 2004;Grall et al, 2002;Yang & Klutke, 2001).…”

A Fuzzy Cognitive Maps Tool for Developing a RBI&M Model

“…On the other hand, CM strives to restore the performance of equipment once failures occur . Specifically, in the framework of condition‐based maintenance, a maintenance policy relies essentially on two main decisions: when to take maintenance actions and when to inspect …”

“…Beyond their differences, the objective of each of these strategies is to maintain the system of production in a working condition as long as possible or to restore it as quickly as possible in the case of failure . Moreover, in many PM policies, the decision parameters, such as preventive threshold and inspection schedule, are optimised based on only the maintenance cost per time unit without taking into consideration the productivity, which may depend on the system condition …”

Degradation-based maintenance decision using stochastic filtering for systems under imperfect maintenance

“…Instead of lifting the degradation critical threshold, some researchers, e.g. Nicolai et al (2009), Van and Berenguer (2012) and Mercier and Castro (2013), treated imperfect maintenance by reducing the degradation level of a maintained system by a random amount. The uniform distribution is always employed for modeling the distribution of the random amount.…”