考虑缓冲区库存不足情况下的设备维护与缓冲区库存联合优化研究

doi:10.16381/j.cnki.issn1003-207x.2019.0941

Abstract

Abstract: By investigating the actual production status of two-equipment pipeline production system (2M1B system) in a petrochemical enterprise, with the continuous consumption of buffer stock, there are mainly two kinds of buffer stock: sufficient buffer stock and insufficient buffer stock at the end of preventive maintenance of equipment. In the research of preventive maintenance of equipment in 2M1B system with buffer stock, the situation of insufficient buffer stock neglects. Thus, the joint optimization of equipment maintenance and buffer stock in 2M1B system in view of insufficient buffer inventory are studied in this paper.

Key words: preventive maintenance, buffer inventory, 2M1B system, renewal theory, joint optimization

CLC Number:

TB472
F273.4

LIU Qin-ming, LIU Wen-yi, YE Chun-ming. Research on Joint Optimization of Equipment Maintenance and Buffer Stock by Considering Insufficient Buffer Stock[J]. Chinese Journal of Management Science, 2022, 30(1): 143-153.

References

［1］ Wijngaard J. The effect of interstage buffer storage on the output of two unreliable production units in series, with different production rates［J］. IIE Transactions,1977, 11(1):374-390.
［2］ Karamatsoukis C C. Optimal maintenance of two stochastically deteriorating machines with an intermediate buffer［J］. European Journal of Operational Research, 2010, 207(1):297-308.
［3］ Desforges X, Mickal D, Bernard A. A prognostic function for complex systems to support production and maintenance co-operative planning based on an extension of object oriented Bayesian networks［J］. Computers in Industry, 2017, 86:34-51.
［4］ Paprocka I. The model of maintenance planning and production scheduling for maximising robustness［J］. International Journal of Production Research, 2018, (2):4480-4501.
［5］成国庆,周炳海,李玲. 复杂生产系统经济生产批量与视情维护策略模型［J］. 计算机集成制造系统,2018,24(9):2270-2278.Cheng Guoqing, Zhou Binghai, Li ling. Economical production batch and situational maintenance strategy model for complex production system［J］.Computer Integrated Manufacturing System, 2018, 24(9): 2270-2278.
［6］张岳君,方志梅,林文文. 流水线系统生产计划与设备维护的集成建模研究［J］. 宁波大学学报(理工版),2019,32(2):30-35.Zhang Yuejun, Fang Zhimei, Lin Wenwen. Research on integrated modeling of production planning and equipment maintenance in pipeline system［J］.Journal of Ningbo University (Science and Technology edition), 2019, 32(2): 30-35.
［7］成国庆,周炳海,李玲. 劣化系统的生产、质量控制与视情维护联合建模与优化［J］. 计算机集成制造系统,2019,25(7):1620-1629.Cheng Guoqing, Zhou Binghai, Li ling. Joint modeling and optimization of production, quality control and situational maintenance of degraded systems［J］.Computer Integrated Manufacturing System, 2019,25(7):1620-1629.
［8］ Basten R J I, Ryan J K.The value of maintenance delay flexibility for improved spare parts inventory management［J］. European Journal of Operational Research, 2019, 278(2): 646-657.
［9］张新博,王乃超,肖波平,等. 考虑备件及维修周转的并串混联系统可用度模型［J］. 系统工程与电子技术,2019,41(1):223-228.Zhang Xinbo, Wang Naichao, Xiao Boping, et al. Availability model of parallel series hybrid system considering spare parts and maintenance turnover［J］.Systems Engineering and Electronics,2019,41(1):223-228.
［10］杨建华,韩梦莹. 基于延迟时间理论的备件维修多目标优化模型［J］. 系统工程与电子技术,2019,41(8):1903-1912.Yang Jianhua, Han Mengying. Multi-objective optimization model of spare parts maintenance based on delay time theory［J］.Systems Engineering and Electronics,2019,41(8):1903-1912.
［11］张晓红,白志霞,王潇炜,等. 智能电表最优更换及备件库存联合决策［J］. 运筹与管理,2018,27(10):70-75.Zhang Xiaohong, Bai Zhixia, Wang Xiaowei, et al. Optimal replacement of smart electricity meter and joint decision of spare parts inventory［J］.Operations Research and Management, 2018,27(10):70-75.
［12］吴秀丽,张志强,赵宁,等. 超启发式文化基因算法优化生产与预维修集成调度问题［J］. 计算机集成制造系统,2019,25(8):1885-1896.Wu Xiuli, Zhang Zhiqiang, Zhao Ning, et al. Superheuristic cultural gene algorithm to optimize integrated scheduling of production and pre-maintenance［J］.Computer Integrated Manufacturing System,2019,25(8):1885-1896.
［13］ Martinod R M, Bistorin O, Castaeda L F, et al. Maintenance policy optimisation for multi-component systems considering degradation of components and imperfect maintenance actions［J］. Computers & Industrial Engineering, 2018, 124: 100-112,
［14］ Christer A H, Waller W M. Delay time models of industrial inspection maintenance problems［J］. Journal of the Operational Research Society, 1984, 35(5):401-406.
［15］ Wang Wenbin. An inspection model for a process with two types of inspections and repairs［J］. Reliability Engineering & System Safety, 2009, 94(2):526-533.
［16］ Fitouhi M C, Nourelfath M. Integrating noncyclical preventive maintenance scheduling and production planning for multi-state systems［J］. Reliability Engineering and System Safety, 2014, 121:175-186.
［17］郑睿,吕文元. 考虑故障停机的生产控制与维修计划联合决策模型［J］. 中国管理科学,2016,24(8):116-122.Zheng Rui, Lv Wenyuan. Joint decision model of production control and maintenance plan considering fault shutdown［J］.Chinese Journal of Management Science, 2016, 24(8): 116-122.
［18］刘勤明,吕文元,叶春明. 考虑中间库存缓冲区的设备不完美预防维修策略研究［J］. 计算机应用研究,2018,35(9):2614-2616+2623.Liu Qinming, Lv Wenyuan, Ye Chunming. Research on preventive maintenance strategy of equipment imperfection considering intermediate inventory buffer［J］.Application Research of Computers, 2018, 35(9):2614-2616+2623.
［19］刘勤明,李永朋,叶春明. 基于三阶段时间延迟模型的设备预防维修策略研究［J/OL］. 控制与决策:1-7［2019-06-21］.Liu Qinming, Li Yongpeng, Ye Chunming.Research on preventive maintenance strategy of equipment based on three-stage time delay model［J/OL］.Control and Decision: 1-7［2019-06-21］.
［20］郝虹斐,郭伟,桂林,等. 非完美维修情境下的预防性维修多目标决策模型［J］. 上海交通大学学报,2018,52(5):518-524.Hao Hongfei, Guo Wei, Gui Lin, et al. Multi-objective decision model of preventive maintenance under imperfect maintenance situation［J］.Journal of Shanghai Jiaotong University, 2018, 52(5): 518-524.
［21］邵校,陈志祥,伏开放. 考虑产品合格率衰变的设备维修与生产决策［J］. 工业工程与管理,2017,22(3):7-15.Shao Xiao, Chen Zhixiang, Fu Kaifang. Equipment maintenance and production decision considering product acceptance rate decay［J］.Industrial Engineering and Management, 2017,22(3): 7-15.
［22］刘学娟,冯志鹏. 基于随机系数增长模型的状态维修与EPQ联合优化［J］. 系统工程理论与实践,2019,39(1):251-258.Liu Xuejuan, Fen Zhipeng. Joint optimization of state maintenance and EPQ based on stochastic coefficient growth model［J］.Systems Engineering Theory and Practice. 2019,39(1): 251-258.
［23］刘学娟,赵斐,马晓洋. 考虑生产率调整的多产品EPQ与设备维修整合模型［J］. 系统工程学报,2018,33(1):136-144.Liu Xuejuan, Zhao Fei, Ma Xiaoyang. Multi-product EPQ and equipment maintenance integration model considering productivity adjustment［J］.Journal of Systems Engineering, 2018,33(1):136-144.
［24］刘学娟,赵斐,马晓洋. 多产品生产计划与非周期预防维修整合优化模型［J］. 中国管理科学,2017,25(11):189-196.Liu Xuejuan, Zhao Fei, Ma Xiaoyang. Integrated optimization model of multi-product production planning and off-cycle preventive maintenance［J］.Chinese Journal of Management Science, 2017, 25(11):189-196.
［25］ Siew C Y, Ong S K, Nee A Y C. A practical augmented reality-assisted maintenance system framework for adaptive user support［J］.Robotics and Computer-Integrated Manufacturing, 2019, 59: 115-129.
［26］ Chang Fengtian, Zhou Guanghui, Zhang Chao, et al. A service-oriented dynamic multi-level maintenance grouping strategy based on prediction information of multi-component systems［J］. Journal of Manufacturing Systems, 2019, 53: 49-61.
［27］ Khatab A, Diallo C, Venkatadri U, et al. Optimization of the joint selective maintenance and repairperson assignment problem under imperfect maintenance［J］. Computers & Industrial Engineering, 2018, 125: 413-422.
［28］高俏俏,岳德权,赵冰. 有延迟修理的两部件串联系统的预防维修策略［J］. 运筹学学报,2018,22(4):69-78.Gao Qiaoqiao, Yue Dequan, Zhaobing. Preventive maintenance strategy for two-component series system with delayed repair［J］.Journal of Operations Research, 2018,22(4):69-78.
［29］张云正,张晓红,曾建潮. 租赁设备的状态维修决策建模与优化［J］. 系统工程理论与实践,2019,39(7):1732-1743.Zhang Yunzheng, Zhang Xiaohong, Zeng Jianchao. Modeling and optimization of state maintenance decision for leased equipment［J］.Systems Engineering Theory and Practice,2019,39(7):1732-1743.
［30］代博超,张英杰,李阳帆,等. 基于性能退化预测的数控机床预防维修方法［J］. 中国机械工程,2019,30(17):2122-2128.Dai Bochao, Zhang Yingjie, Li Yangfan, et al. Preventive maintenance method of NC Machine Tools based on performance degradation prediction［J］. Chinese Mechanical Engineering Society,2019,30(17):2122-2128.
［31］黄松,吕文元. 带缓冲区的基于时间延迟的可修设备联合优化［J］. 工业工程,2018,21(6):46-53+63.Huang Song, Lv Wenyuan. Joint optimization of repairable devices with buffers based on time delay［J］.Industrial engineering, 2018, 21(6): 46-53+63.

[1]	LU Zhen, XU Jian, YANG Yun-feng. The Decision of Economic Production Quantity with Quality-Contingent Demand and Perfect Preventative Maintenance [J]. Chinese Journal of Management Science, 2020, 28(5): 71-78.
[2]	LIU Xue-juan, ZHAO Fei, MA Xiao-yang. Joint Optimal Multi-product Production and Non-cyclical Preventive Maintenance Planning Model [J]. Chinese Journal of Management Science, 2017, 25(11): 189-196.
[3]	ZHENG Rui, LV Wen-yuan. Modelling of Simultaneous Decision Making of Production Control and Maintenance Schedule in the Context of Failure Downtime [J]. Chinese Journal of Management Science, 2016, 24(8): 116-122.
[4]	LI Qun-xia, MA Feng-cai, ZHANG Qun. Joint Optimization for Lead-time Supply-demand Inventory in Supply Chain [J]. Chinese Journal of Management Science, 2015, 23(4): 117-122.
[5]	ZHENG Rui, LV Wen-yuan. Modelling of Preventive Maintenance Based on the Delay Time Theory and Case Study [J]. Chinese Journal of Management Science, 2010, 18(2): 48-54.

Research on Joint Optimization of Equipment Maintenance and Buffer Stock by Considering Insufficient Buffer Stock

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 5

Metrics

Comments

Recommended 10