DocumentCode :
3503410
Title :
Optimal maintenance policies for a cold standby redundant system with two units
Author :
Rongbing Hu ; Jun Xie ; Rongbing Hu
Volume :
2
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
1774
Lastpage :
1778
Abstract :
A certain type of missile director is a cold standby redundant system. To achieve high reliability and availability, a maintenance policy based on preventive replacement is presented. The maintenance policy involves component replacement and spare provision, where preventive replacement and corrective replacement are combined in replacement policy and orders are released when a specified time reaches or a failure occurs. A non-linear programming model is established to minimize the average expected maintenance cost subject to the constraint of system availability. Based on Markov renewal process, formulas for expected cost and system availability are derived. Genetic algorithm is proposed to search optimal alternatives. Numerical examples are given for Weibull distribution of life time.
Keywords :
Markov processes; Weibull distribution; failure analysis; genetic algorithms; minimisation; missiles; nonlinear programming; preventive maintenance; redundancy; reliability; search problems; Markov renewal process; Weibull distribution; cold standby redundant system; corrective replacement; failure analysis; genetic algorithm; life time distribution; maintenance cost minimization; missile director; nonlinear programming model; optimal maintenance policy; order release; preventive component replacement; search problem; spare provision; system availability; system reliability; cold standby system; genetic algorithm; maintenance policy; preventive replacement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2012-4
Electronic_ISBN :
978-1-4244-2013-1
Type :
conf
DOI :
10.1109/SOLI.2008.4682817
Filename :
4682817
Link To Document :
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