A model of imperfect preventive maintenance with dependent failure modes

Castro, Inma T.

doi:10.1016/j.ejor.2008.02.042

Cited by 72 publications

(53 citation statements)

References 4 publications

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“…A two-stage approach was proposed: first, determine the optimal maintenance periods; then, for each maintenance time point, measure the extension of system life per unit cost of components and thus determine whether the proper maintenance activity involves nothing, simple preventive work, or preventive replacements. Castro [19] proposed failure models for system components via a non-homogeneous Poisson process. The system is one composed of repairable and irreparable components.…”

Section: B Imperfect Maintenance Multi-objective Maintenance Strategymentioning

confidence: 99%

Multi-objective optimization using genetic algorithm: Applications to imperfect preventive maintenance model

Wang

Tsai

2011

2011 6th International Conference on Computer Science &Amp; Education (ICCSE)

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In this study, a multi-objective hybrid genetic algorithm (MOHGA) is proposed to optimize a multi-objective imperfect preventive maintenance (MOIPM) model. The MOHGA proposed not only utilizes a Pareto-based technique to determine and retain the superior chromosomes as the GA chromosome evolutions are performed, but also guides their search direction. In order to obtain diverse non-dominated solutions that approach the optimized Pareto-efficient frontier, the closeness metric and diversity metric are employed to evaluate the superiority of the non-dominated solutions. Accordingly, decision makers can easily determine the most appropriate maintenance alternative to constitute a maintenance strategy from the optimized non-dominated solutions, given the practical requirements of system performance under the constraints of maintenance resources. Furthermore, this study employs response surface methodology via systematic parameter experiments to determine the best search parameter settings in the MOHGA proposed. A simulated case verifies the efficacy and practicality of the MOHGA. (Abstract) Index Terms-genetic algorithm, multi-objective optimization, pareto-efficient frontier. (key words)

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Section: B Imperfect Maintenance Multi-objective Maintenance Strategymentioning

confidence: 99%

Multi-objective optimization using genetic algorithm: Applications to imperfect preventive maintenance model

Wang

Tsai

2011

2011 6th International Conference on Computer Science &Amp; Education (ICCSE)

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“…It is shown in the literature that maintenance gain could be either deterministic, see for instance, or random, depending on different factors, e.g. the system characteristics, maintenance supports, … In this way, both deterministic and random intervention gains are investigated in this work.…”

Section: Maintenance Policymentioning

confidence: 99%

“…However, the replacement or perfect repair actions are often expensive. Imperfect maintenance relying on the fact that the system state after maintenance is somewhere between the state before maintenance and as good as new has grown recently as a popular issue to researchers, see for example . Various methods and optimal policies for imperfect maintenance are summarized and discussed by Pham and Wang .…”

Section: Introductionmentioning

confidence: 99%

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

Van

Bérenguer

2012

Quality & Reliability Eng

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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.

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“…When the system does not perform as well as a new one after maintenance, it is called imperfect PM. There is an extensive literature about imperfect PM models, see Ben-Daya et al 11 , Osaki 12 , and Castro 13 for more details. The imperfect degree of repairing can be described by the alteration of the fault rate.…”

Section: Introductionmentioning

confidence: 99%

A cost‐based selective maintenance decision‐making method for machining line

Zhu

Liu

Shao

et al. 2011

Quality & Reliability Eng

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Machine line is a type of manufacturing system in which machines are connected in series or in parallel. It is significant to ensure the reliability as well as to reduce the total cost of maintenance and failure losses in the maintenance programs of such systems. Cost-based selective maintenance decision-making, which is the best method for a selected group of machines in machine line is presented under limited maintenance durations. Fault losses and maintenance costs of a single machine under different maintenance actions i.e. minimal repair, preventive maintenance and overhaul on the fault rate of the machine are calculated. An algorithm combining the heuristic rules and tabu search is proposed to solve the presented selective maintenance model. Finally, a case study on the maintenance decision-making problem of a connecting rod machining line in the automobile engine workshop is presented to illustrate the applicability of the proposed method. The end result shows that the fault losses can be further reduced by the optimization of maintenance interval and maintenance duration.

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A model of imperfect preventive maintenance with dependent failure modes

Cited by 72 publications

References 4 publications

Multi-objective optimization using genetic algorithm: Applications to imperfect preventive maintenance model

Multi-objective optimization using genetic algorithm: Applications to imperfect preventive maintenance model

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

A cost‐based selective maintenance decision‐making method for machining line

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