DocumentCode :
1545755
Title :
Optimal allocation of s-identical, multi-functional spares in a series system
Author :
Prasad, V.R. ; Kuo, Way ; Kim, K. M Oh
Author_Institution :
Knowledge Based Syst. Inc., Texas A&M Univ., College Station, TX, USA
Volume :
48
Issue :
2
fYear :
1999
fDate :
6/1/1999 12:00:00 AM
Firstpage :
118
Lastpage :
126
Abstract :
This paper considers the problem of allocating statistically-identical, multi-functional spares to subsystems of a series system. The objective is to maximize the system reliability for mission time T which can be deterministic or stochastic. Several problems which are conceptually similar to this one have been discussed in the literature in different contexts. An algorithm is provided for obtaining standby redundancy allocation, and sufficient conditions are derived for optimality of the resulting allocation for general T. The algorithm is equivalent to a simple allocation rule under the sufficient conditions. The allocation rule gives an optimal allocation for the special cases: the PDF´s of component lifetimes are log concave (which implies increasing failure rate), and T is deterministic; the components have exponential failure times, and T follows a gamma distribution; and component lifetime distributions are general, and T follows an exponential or a mixture of exponential distributions. No simpler method is available for latter two cases
Keywords :
exponential distribution; gamma distribution; optimisation; reliability theory; component lifetimes; deterministic mission time; exponential distributions; exponential failure times; gamma distribution; increasing failure rate; log concave density; optimal spare allocation; probability density functions; reliability optimisation; s-identical multi-functional spares; series system; standby redundancy allocation; statistically-identical multi-functional spares; stochastic mission time; system reliability maximisation; Electric shock; Exponential distribution; Knowledge based systems; Radio spectrum management; Redundancy; Reliability; Stochastic systems; Sufficient conditions; Tires; Wheels;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/24.784269
Filename :
784269
Link To Document :
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