Redundancy allocation problems considering systems with imperfect repairs using multi-objective genetic algorithms and discrete event simulation

This paper considers a multi-objective genetic algorithm (GA) coupled with discrete event simulation to solve redundancy allocation problems in systems subject to imperfect repairs. In the multi-objective formulation, system availability and cost may be maximized and minimized, respectively; the fai...

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Veröffentlicht in:Simulation modelling practice and theory Jg. 19; H. 1; S. 362 - 381
Hauptverfasser: Lins, Isis Didier, Droguett, Enrique López
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 2011
Schlagworte:
Algorithms
Allocations
Computer simulation
Genetic algorithms
Imperfect repair
Maintenance
Mathematical models
Multi-objective genetic algorithm
Redundancy
Redundancy allocation problems
Reliability
Repairing
Multi-objective genetic algorithm
Redundancy allocation problems
Imperfect repair
Maintenance
Reliability
ISSN:1569-190X, 1878-1462
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Zusammenfassung:This paper considers a multi-objective genetic algorithm (GA) coupled with discrete event simulation to solve redundancy allocation problems in systems subject to imperfect repairs. In the multi-objective formulation, system availability and cost may be maximized and minimized, respectively; the failure-repair processes of system components are modeled by Generalized Renewal Processes. The presented methodology provides a set of compromise solutions that incorporate not only system configurations, but also the number of maintenance teams. The multi-objective GA is validated via examples with analytical solutions and shows its superior performance when compared to a multi-objective Ant Colony algorithm. Moreover, an application example is presented and a return of investment analysis is suggested to aid the decision maker in choosing a solution of the obtained set.
Bibliographie:ObjectType-Article-2
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ISSN:1569-190X
1878-1462
DOI:10.1016/j.simpat.2010.07.010