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

被引：68

作者：

Lins, Isis Didier ^{[1
]}

Droguett, Enrique Lopez ^{[1
]}

机构：

[1] Univ Fed Pernambuco, Ctr Estudos & Ensaios Risco & Modelagem Ambiental, Dept Prod Engn, BR-50740530 Recife, PE, Brazil

来源：

SIMULATION MODELLING PRACTICE AND THEORY | 2011年 / 19卷 / 01期

关键词：

Redundancy allocation problems; Multi objective genetic algorithm; Imperfect repair; Reliability; Maintenance; AVAILABILITY ALLOCATION; OPTIMIZATION; DESIGN; MODELS;

D O I：

10.1016/j.simpat.2010.07.010

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 (C) 2010 Elsevier B V All rights reserved

引用

页码：362 / 381

页数：20

共 42 条

[31] Imperfect maintenance [J].