Preventive Maintenance and Replacement Policy for Series Deteriorating
 Production System Considering  Generalized Time Value

doi:10.16183/j.cnki.jsjtu.2020.05.003

Abstract

Abstract: A series production system consisting of multiple processes and facility was studied considering degradation process as a random process in line with Gamma distribution. Opportunistic maintenance was introduced when preventive maintenance (PM) was conducted to reduce system downtime. Maintenance time was regarded as a function of degradation degree and maintenance times. A degradation degree recovery factor was used to describe the evolution process of facility degradation degree before and after maintenance. Considering the generalized time value, cost function of facility and system model was established according to the decision of maintenance and replacement based on cost-effectiveness and availability. The numerical example optimized the maintenance thresholds and calculated the replacement time and PM times of each facility. The results show that the generalized time value can accelerate the aging of facility, shorten service life, and provide a new idea for enterprise to make maintenance and replacement policy.

Key words: generalized time value; series production system; opportunistic preventive maintenance; replacement policy

CLC Number:

TH 17

DU Yu，LI Yuqing，ZHANG Xiufang，PAN Ershun. Preventive Maintenance and Replacement Policy for Series Deteriorating Production System Considering Generalized Time Value[J]. Journal of Shanghai Jiaotong University, 2020, 54(5): 465-472.

References

［1］余佳迪, 周炳海.带缓冲的串行生产系统预防性维护策略［J］.上海交通大学学报, 2014, 48(12): 1694-1699. YU Jiadi, ZHOU Binhai. Preventive maintenance policy for series production systems with intermediate buffers ［J］. Journal of Shanghai Jiao Tong University, 2014, 48(12): 1694-1699. ［2］陆志强, 赵婵媛, 崔维伟. 串联生产系统预防性维护计划建模与优化［J］. 哈尔滨工程大学学报, 2017, 38(2): 269-275. LU Zhiqiang ZHAO Chanyuan, CUI Weiwei. Modeling and optimization of preventive maintenance sche-duling for series production systems ［J］. Journal of Harbin Engineering University, 2017, 38(2): 269-275. ［3］陶红玉, 周炳海.基于随机退化的串行生产系统机会维护模型［J］.上海交通大学学报, 2013, 47(12): 1911-1917. TAO Hongyu, ZHOU Binghai. Opportunistic maintenance model for series production systems based on Stochastic degradation ［J］. Journal of Shanghai Jiao Tong University, 2013, 47(12): 1911-1917. ［4］侯文瑞, 蒋祖华, 金玉兰.基于可靠度的多部件系统机会维护模型［J］.系统工程与电子技术, 2008, 30(9): 1805-1808. HOU Wenrui, JIANG Zuhua, JIN Yulan. Opportu-nistic preventive maintenance model of multi-components system based on reliability ［J］. Systems Engineering and Electronics, 2008, 30(9): 1805-1808 ［5］ZHOU X, XI L, LEE J. Opportunistic preventive maintenance scheduling for a multiunit series system based on dynamic programming ［J］. International Journal of Production Economics, 2009, 118(2): 361-366. ［6］XIA T, XI L, ZHOU X, et al. Modeling and optimizing maintenance schedule for energy systems subject to degradation ［J］. Computers & Industrial Enginee-ring, 2012, 63(3): 607-614. ［7］XIA T, XI L, ZHOU X, et al. Dynamic maintenance decision making for series-parallel manufacturing system based on MAM-MTW methodology ［J］. Euro-pean Journal of Operational Research, 2012, 221(1): 231-240. ［8］XIA T, JIN X, XI L, et al. Production-driven opportunistic maintenance for batch production based on MAM-APB scheduling ［J］. European Journal of Operational Research, 2015, 240(3): 781-790. ［9］贾积身, 巴玉强, 张清叶.修理工单重定期休假可修系统更换模型研究［J］. 数学的实践与认识, 2014, 44(19): 207-215. JIA Jishen, BA Yuqiang, ZHANG Qingye. Research on replacement model for reparable system conside-ring its repairman having single regular vacations ［J］. Mathematic in Practice and Theory, 2014, 44(19): 207-215. ［10］GAO Q, YUE D, ZHAO B. The ordering and replacement policy for the system with two types of failures ［J］. Journal of Systems Science & Complexity, 2018, 31(6): 1541-1553. ［11］ZONG S, CHAI G, ZHANG Z, et al. Optimal replacement policy for a deteriorating system with increasing repair times ［J］. Applied Mathematical Modelling, 2013, 37(23): 9768-9775. ［12］WANG G, ZHANG Y. Geometric process model for a system with inspections and preventive repair ［J］. Computers & Industrial Engineering, 2014, 75: 13-19. ［13］ZHAO P, LI L. Analysis based on the shortest path method of equipment replacement ［C］//IEEE 2014 26th Chinese Control And Decision Conference, Shenyang: Control and Design, 2014: 962-965. ［14］CHANG C C. Optimum preventive maintenance policies for systems subject to random working times, replacement, and minimal repair ［J］. Computers & Industrial Engineering, 2014, 67, 185-194.

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Preventive Maintenance and Replacement Policy for Series Deteriorating Production System Considering Generalized Time Value

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