DocumentCode :
2685196
Title :
Optimal inspection and maintenance policy for the multi-unit series system
Author :
Cheng, Zhijun ; Yang, Zheng ; Tan, Lin ; Guo, Bo
Author_Institution :
Sch. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2011
fDate :
12-15 June 2011
Firstpage :
811
Lastpage :
814
Abstract :
The optimal inspection and maintenance policy for the multi-unit series system with economical dependence is investigated in this paper. This system is composed of two kinds of units, which are subjected to the deterioration failure and the Poisson failure respectively. Since costs can be saved when several units are jointly repaired instead of separately, the optimal maintenance model for multi-unit system should not limit itself to a simple juxtaposition of the mono-unit models and lead to the complex problem. To solve this problem, a classical opportunistic maintenance policy is extended to coordinate the maintenance of the two kinds of units and minimize the long-run maintenance cost of the system. To get the multi-threshold control-limit policy, the improved Markov decision approach is presented. Finally, a numerical example is put forward to illustrate the implementation of the model and iteration algorithm.
Keywords :
Markov processes; decision making; failure analysis; inspection; iterative methods; maintenance engineering; Poisson failure; deterioration failure; economical dependence; improved Markov decision approach; iteration algorithm; long-run maintenance cost; multithreshold control limit policy; multiunit series system; opportunistic maintenance policy; optimal inspection; optimal maintenance model; Frequency modulation; Inspection; Markov processes; Mathematical model; Optimization; Preventive maintenance; Markov decision process; economical dependence; multi-unit system; opportunistic maintenance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability, Maintainability and Safety (ICRMS), 2011 9th International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-61284-667-5
Type :
conf
DOI :
10.1109/ICRMS.2011.5979403
Filename :
5979403
Link To Document :
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