Integrating Strategy of Preventive Maintenance and Buffer Allocation Considering Dynamic Degradations for Manufacturing Systems

Expand
  • School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Online published: 2019-10-11

Abstract

The article introduces a processing capability index combined with reliability into describing dynamic degradation of a two-machine-one-buffer system, and studies a joint optimization method of preventive maintenance and buffer allocation. Considering the production states and operation characteristics of manufacturing system, we establish a multi-stage dynamic model to illustrate the buffer fluctuation, and discuss the corresponding buffer cost and shortage cost models comprehensively. The minimum total average cost is used to develop the optimal joint policy of preventive maintenance and buffer allocation. A numerical case is used to prove the effectiveness of the proposed policy and the results have demonstrated the significant effect of buffer allocation on cost saving.

Cite this article

GUO Wenyu,ZHANG Xiufang,XIU Yujiao,XIA Tangbin,PAN Ershun . Integrating Strategy of Preventive Maintenance and Buffer Allocation Considering Dynamic Degradations for Manufacturing Systems[J]. Journal of Shanghai Jiaotong University, 2019 , 53(9) : 1107 -1114 . DOI: 10.16183/j.cnki.jsjtu.2019.09.013

References

[1]张岳君, 方志梅, 陆阳冰. 设备故障条件下流水线产能评估方法研究[J]. 宁波大学学报(理工版), 2017, 30(4): 1-5.
ZHANG Yuejun, FANG Zhimei, LU Yangbing. Production line throughput evaluation method with machine failures [J]. Journal of Ningbo University (Natural Science & Engineering Edition), 2017, 30(4): 1-5.
[2]周炳海, 刘子龙. 考虑质量损失的退化系统维护建模[J]. 浙江大学学报(工学版), 2016, 50(12): 2270-2276.
ZHOU Binghai, LIU Zilong.Maintenance modeling for deteriorating system considering quality loss [J]. Journal of Zhejiang University (Engineering Science), 2016, 50(12): 2270-2276.
[3]DIMITRAKOS T D, KYRIAKIDIS E G. A semi-Markov decision algorithm for the maintenance of a production system with buffer capacity and continuous repair times[J]. International Journal of Production Economics, 2008, 111(2): 752-762.
[4]MELLER R D, KIM D S. The impact of preventive maintenance on system cost and buffer size[J]. European Journal of Operational Research, 1996, 95(3): 577-591.
[5]CHENG G Q, ZHOU B H, LI L, et al. Geometric process repair model for an unreliable production system with an intermediate buffer[J]. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2017, 231(4): 747-759.
[6]GAN S Y, ZHANG Z S, ZHOU Y F, et al. Intermediate buffer analysis for a production system[J]. Applied Mathematical Modelling, 2013, 37(20/21): 8785-8795.
[7]REZG N, CHELBI A, XIE X L. Modeling and optimizing a joint inventory control and preventive maintenance strategy for a randomly failing production unit: Analytical and simulation approaches[J]. International Journal of Computer Integrated Manufacturing, 2005, 18(2/3): 225-235.
[8]XIA T B, JIN X N, XI L F, 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]张耀周, 夏唐斌, 陶辛阳, 等. 面向港口复杂装卸系统的动态机会维护策略[J]. 上海交通大学学报, 2015, 49(9): 1319-1323.
ZHANG Yaozhou, XIA Tangbin, TAO Xinyang, et al. Dynamic opportunistic maintenance policy for complex quayside container crane systems[J]. Journal of Shanghai Jiao Tong University, 2015, 49(9): 1319-1323.
[10]廖雯竹, 张秀芳, 江敏. 成组方式下考虑故障率限制的生产调度模型[J]. 计算机集成制造系统, 2017, 23(3): 599-608.
LIAO Wenzhu, ZHANG Xiufang, JIANG Min.Production scheduling model considering failure rate threshold for group production[J]. Computer Integrated Manufacturing Systems, 2017, 23(3): 599-608.
[11]陶辛阳, 夏唐斌, 奚立峰. 基于健康指数的预防性维护与多目标生产调度联合优化建模[J]. 上海交通大学学报, 2014, 48(8): 1170-1174.
TAO Xinyang, XIA Tangbin, XI Lifeng. Health-index-based joint optimization of preventive maintenance and multi-attribute production scheduling [J]. Journal of Shanghai Jiao Tong University, 2014, 48(8): 1170-1174.
[12]XIA T B, XI L F, ZHOU X J, et al. Condition-based maintenance for intelligent monitored series system with independent machine failure modes[J]. International Journal of Production Research, 2013, 51(15): 4585-4596.
[13]XIA T B, XI L F, PAN E S, et al. Reconfiguration-oriented opportunistic maintenance policy for reconfigurable manufacturing systems[J]. Reliability Engineering and System Safety, 2017, 166: 87-98.
[14]XIA T B, TAO X Y, XI L F, et al. Operation process rebuilding (OPR)-oriented maintenance policy for changeable system structures[J]. IEEE Transactions on Automation Science and Engineering, 2017, 14(1): 139-148.
[15]TAO X Y, XIA T B, XI L F, et al. Dynamic opportunistic maintenance scheduling for series systems based on theory of constraints (TOC)-VLLTW me-thodology[J]. Journal of Manufacturing Science and Engineering, 2017, 139(2): 021009.
Outlines

/