CLC number: TB114.3; O224; O211.6
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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Fang You-Tong, Liu Bao-You. Preventive repair policy and replacement policy of repairable system taking non-zero preventive repair time[J]. Journal of Zhejiang University Science A, 2006, 7(101): 207-212.
@article{title="Preventive repair policy and replacement policy of repairable system taking non-zero preventive repair time",
author="Fang You-Tong, Liu Bao-You",
journal="Journal of Zhejiang University Science A",
volume="7",
number="101",
pages="207-212",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.AS0207"
}
%0 Journal Article
%T Preventive repair policy and replacement policy of repairable system taking non-zero preventive repair time
%A Fang You-Tong
%A Liu Bao-You
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 101
%P 207-212
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.AS0207
TY - JOUR
T1 - Preventive repair policy and replacement policy of repairable system taking non-zero preventive repair time
A1 - Fang You-Tong
A1 - Liu Bao-You
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 101
SP - 207
EP - 212
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.AS0207
Abstract: The repairable system with preventive maintenance is one of the typical systems with wide useful applications in engineering. If the system can be made as good as new by preventive maintenance, both the life stochastic variable of different periods and fault correction time stochastic variable form monotonous stochastic process. Based on the above assumption and the available results, in this paper we discuss the maintenance and replacement policy of the repairable system with preventive maintenance. The intervals of preventive maintenance, T, and the times of system failure, N, are introduced and the vector Markov process method is used. The formulation of steady state average profit rate can be deduced to solve the optimization problem of the maintenance and replacement policy.
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