[1] Gao Wenke, Zhang Zhisheng, Zhou Yifan, Gan Shuyuan, et al. Optimal quasi-periodic maintenance policiesfor two-unit series system [J]. Journal of Southeast University (English Edition), 2013, 29 (4): 450-455. [doi:10.3969/j.issn.1003-7985.2013.04.018]

Copy

Optimal quasi-periodic maintenance policiesfor two-unit series system()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

29

Issue:

2013 4

Page:

450-455

Research Field:

Mechanical Engineering

Publishing date:

2013-12-20

Info

Title:

Optimal quasi-periodic maintenance policiesfor two-unit series system

Author(s):

Gao Wenke;  Zhang Zhisheng;  Zhou Yifan;  Gan Shuyuan

School of Mechanical Engineering, Southeast University, Nanjing 211189, China

Keywords:

maintenance policy optimization;  quasi-periodic preventive maintenance;  two-unit series system

PACS:

TH17

DOI:

10.3969/j.issn.1003-7985.2013.04.018

Abstract:

To investigate the effects of various random factors on the preventive maintenance(PM)decision-making of one type of two-unit series system, an optimal quasi-periodic PM policy is introduced. Assume that PM is perfect for unit 1 and only mechanical service for unit 2 in the model. PM activity is randomly performed according to a dynamic PM plan distributed in each implementation period. A replacement is determined based on the competing results of unplanned and planned replacements. The unplanned replacement is trigged by a catastrophic failure of unit 2, and the planned replacement is executed when the PM number reaches the threshold N. Through modeling and analysis, a solution algorithm for an optimal implementation period and the PM number is given, and optimal process and parametric sensitivity are provided by a numerical example. Results show that the implementation period should be decreased as soon as possible under the condition of meeting the needs of practice, which can increase mean operating time and decrease the long-run cost rate.

References:

[1] Wu S M. Reliability engineering [M]. London: Springer, 2011: 129-140.
[2] Nicolai R P, Dekker R. Optimal maintenance of multi-component systems: a review [R]. Rotterdam, Netherlands:Econometric Institute of Erasmus University Rotterdam, 2006.
[3] Zhang Y L, Wang G J. A geometric process repair model for a repairable cold standby system with priority in use and repair [J]. Reliability Engineering and System Safety, 2009, 94: 1782-1787.
[4] Hanagal D D, Kanade R A. Optimal replacement policies based on number of down times for cold standby system when the lifetime and the repair time are dependent [J]. Journal of Reliability and Statistical Studies, 2011, 4(1): 41-52.
[5] Castaniera B, Grallb A, Bérenguerb C. A condition-based maintenance policy with non-periodic inspections for a two-unit series system [J]. Reliability Engineering and System Safety, 2005, 87(1): 109-120.
[6] Nicolai R P, Dekker R. Complex system maintenance handbook [M]. London: Springer, 2008: 263-286.
[7] Gao W K, Zhang Z S, Zhou Y F, et al. Optimal combinatorial replacement policy under a given maintenance interval for the combined governor in diesel locomotives [J]. Eksploatacja i Niezawodnosc-Maintenance and Reliability, 2013, 15(2): 89-98.
[8] Kodo I, Toshio N. Optimal operation censoring policy of aircraft [C]//2012 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling. Nanjing, China, 2012: 184-191.
[9] Sheu S H, Kuo C M, Nagagawa T. Extended optimal age replacement policy with minimal repair [J]. RAIRO: Recherche Operationnelle, 1993, 27(3): 337-351.
[10] Castro I T, Sanjuan E L. An optimal maintenance policy for repairable systems with delayed repairs [J]. Operations Research Letters, 2008, 36(5): 561-564.
[11] Chen M. Optimal random replacement models with continuously processing jobs [J]. Applied Stochastic Models in Business and Industry, 2012, 29(2): 389-398.
[12] Gao W K, Zhang Z S, Zhou Y F, et al. Maintenance optimization for a system with an implemented range of replacement activities [C]//2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering. Chengdu, China, 2013: 394-398.
[13] Tsai Y T, Wang K S, Tsai L C. A study of availability-centered preventive maintenance for multi-component systems [J]. Reliability Engineering and System Safety, 2004, 84(3): 261-270.
[14] Lewis R M, Torczon V, Trosset M W. Direct search methods: then and now [J]. Journal of Computational and Applied Mathematics, 2000, 124(12): 191-207.

Memo

Memo:

Biographies: Gao Wenke(1981—), male, graduate; Zhang Zhisheng(corresponding author), male, doctor, professor, oldbc@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.51275090, 71201025), the Program for Special Talent in Six Fields of Jiangsu Province(No.2008144), the Scientific Research Foundation of Graduate School of Southeast University(No.YBJJ1302), the Scientific Innovation Research of College Graduates in Jiangsu Province(No.CXLX12_0078).
Citation: Gao Wenke, Zhang Zhisheng, Zhou Yifan, et al. Optimal quasi-periodic maintenance policies for two-unit series system.[J].Journal of Southeast University(English Edition), 2013, 29(4):450-455.[doi:10.3969/j.issn.1003-7985.2013.04.018]

Common functions