DocumentCode :
768150
Title :
A geometric-process repair-model with good-as-new preventive repair
Author :
Zhang, Yuan Lin
Author_Institution :
Dept. of Appl. Math., Southeast Univ., Nanjing, China
Volume :
51
Issue :
2
fYear :
2002
fDate :
6/1/2002 12:00:00 AM
Firstpage :
223
Lastpage :
228
Abstract :
This paper studies a deteriorating simple repairable system. In order to improve the availability or economize the operating costs of the system, the preventive repair is adopted before the system fails. Assume that the preventive repair of the system is as good as new, while the failure repair of the system is not, so that the successive working times form a stochastic decreasing geometric process while the consecutive failure repair times form a stochastic increasing geometric process. Under this assumption and others, by using geometric process we consider a replacement policy N based on the failure number of the system. Our problem is to determine an optimal replacement policy N such that the average cost rate (i.e., the long-run average cost per unit time) is minimized. The explicit expression of the average cost rate is derived, and the corresponding optimal replacement policy can be determined analytically or numerically. And the fixed-length interval time of the preventive repair in the system is also discussed. Finally, an appropriate numerical example is given. It is seen from that both the optimal policies N** and N* are unique. However, the optimal policy N** with preventive repair is better than the optimal policy N* without preventive repair
Keywords :
maintenance engineering; stochastic processes; availability; average cost rate; failure number; failure repair; fixed-length interval time; geometric-process repair-model; good-as-new preventive repair; long-run average cost per unit time; operating costs; optimal replacement policy; renewal cycle; renewal process; repairable system; replacement policy; stochastic decreasing geometric process; successive working times; Cost function; Mathematics; Random variables; Solid modeling; Stochastic systems;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/TR.2002.1011529
Filename :
1011529
Link To Document :
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