上海交通大学学报

上海交通大学学报 >

2024 , Vol. 58 >Issue 8: 1211 - 1220

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.113

机械与动力工程

生产调度与可靠性耦合的变工况再制造系统维护建模

展开
  • 上海交通大学 机械与动力工程学院,上海 200240
肖常胜(1999-),硕士生,从事复杂制造系统设备预防维护研究.
周晓军,副教授,博士生导师;E-mail: zzhou745@sjtu.edu.cn.

收稿日期: 2023-03-31

  修回日期: 2023-05-11

  录用日期: 2023-06-25

  网络出版日期: 2023-07-03

基金资助

国家自然科学基金(52075336)

收起

Maintenance Modeling of Remanufacturing Systems in Variable Working Condition with Coupling of Production Scheduling and Reliability

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

Received date: 2023-03-31

  Revised date: 2023-05-11

  Accepted date: 2023-06-25

  Online published: 2023-07-03

Fold

摘要

针对变工况下的多工序再制造系统,提出生产、设备衰退和系统维护之间的耦合建模方法.首先引入考虑设备可靠性的动态生产优先级并据此生成生产调度计划,进而基于变动生产计划建立设备的变工况故障率模型,在此基础上,考虑生产的动态性和设备衰退的不确定性,构建基于双生产周期优化的再制造系统动态维护决策模型.算例分析表明,该模型可有效提高系统生产净收益且相对于传统生产和维护决策方法更具优势.

关键词： 再制造系统; 预防维护; 变工况; 动态生产优先级; 耦合建模方法

本文引用格式

肖常胜, 周晓军, 祝米鑫 . 生产调度与可靠性耦合的变工况再制造系统维护建模[J]. 上海交通大学学报, 2024 , 58(8) : 1211 -1220 . DOI: 10.16183/j.cnki.jsjtu.2023.113

Abstract

For the multi-process remanufacturing system under variable working conditions, a modeling method considering the coupling among equipment deterioration, maintenance, and production is proposed. First, a dynamic production priority considering equipment reliability is introduced, based on which, a production scheduling plan is generated. Then, an equipment hazard rate model under variable production plan is established. On this basis, a dual-cycle dynamic maintenance decision-making method is constructed, considering the dynamic nature of production scheduling plan and the uncertainty of equipment failure. The illustrative example shows that the model can effectively improve the net profit of the system and has more advantages than traditional production and maintenance decision-making methods.

Key words： remanufacturing system; preventive maintenance; variable working condition; dynamic production priority; coupled modeling methods

参考文献

[1] LEVITIN G, XING L, XIANG Y. Optimizing preventive replacement schedule in standby systems with time consuming task transfers[J]. Reliability Engineering & System Safety, 2021, 205: 107227.
[2] CARPITELLA S, MZOUGUI I, BENíTEZ J, et al. A risk evaluation framework for the best maintenance strategy: The case of a marine salt manufacture firm[J]. Reliability Engineering & System Safety, 2021, 205: 107265.
[3] HSIEH T J. Component mixing with a cold standby strategy for the redundancy allocation problem[J]. Reliability Engineering & System Safety, 2021, 206: 107290.
[4] WANG J, QIU Q, WANG H. Joint optimization of condition-based and age-based replacement policy and inventory policy for a two-unit series system[J]. Reliability Engineering & System Safety, 2021, 205: 107251.
[5] MIZUTANI S, DONG W, ZHAO X, et al. Preventive replacement policies with products update announcements[J]. Communications in Statistics-Theory and Methods, 2020, 49(15): 3821-3833.
[6] CHANG C C. Optimal preventive replacement last policy for a successive random works system with random lead time[J]. Communications in Statistics-Theory and Methods, 2023, 52(4): 1202-1216.
[7] LEVITIN G, XING L, DAI Y. Minimum cost replacement and maintenance scheduling in dual-dissimilar-unit standby systems[J]. Reliability Engineering & System Safety, 2022, 218: 108127.
[8] 夏唐斌, 周晓军, 奚立峰. 基于失效率调整因子的多目标动态预防性维护决策建模[J]. 上海交通大学学报, 2009, 43(5): 821-824.
  XIA Tangbin, ZHOU Xiaojun, XI Lifeng. Multi-attribute model for dynamic preventive maintenance decision with hybrid evolution factors[J]. Journal of Shanghai Jiao Tong University, 2009, 43(5): 821-824.
[9] 陆志强, 王佳跃, 周炳海. 带缓冲区的可修复设备多目标预防性维护决策模型[J]. 计算机集成制造系统, 2010, 16(10): 2124-2128.
  LU Zhiqiang, WANG Jiayue, ZHOU Binghai. Multi-objective preventive maintenance decision-making model for repairable equipment with buffer[J]. Computer Integrated Manufacturing Systems, 2010, 16(10): 2124-2128.
[10] CHEN Y, LIU Y, JIANG T. Optimal maintenance strategy for multi-state systems with single maintenance capacity and arbitrarily distributed maintenance time[J]. Reliability Engineering & System Safety, 2021, 211: 107576.
[11] LAI M T, CHEN Y C. Optimal periodic replacement policy for a two-unit system with failure rate interaction[J]. The International Journal of Advanced Manufacturing Technology, 2006, 29(3): 367-371.
[12] ZHOU X, ZHU M, YU W. Maintenance scheduling for flexible multistage manufacturing systems with uncertain demands[J]. International Journal of Production Research, 2021, 59(19): 5831-5843.
[13] ZHANG Q, FANG Z, CAI J. Extended block replacement policies with mission durations and maintenance triggering approaches[J]. Reliability Engineering & System Safety, 2021, 207: 107399.
[14] LI G, ZHU H, HE J, et al. Application of power law model in reliability evaluation of machine tools by considering working condition difference[J]. Quality and Reliability Engineering International, 2019, 35(1): 136-145.
[15] 禄智鸿, 周晓军. 质量与可靠性集成的变工况串行系统维护建模[J]. 计算机集成制造系统, 2022, 28(4): 1030-1041.
  LU Zhihong, ZHOU Xiaojun. Maintenance modeling on integration of quality and reliability for serial systems with variable working conditions[J]. Computer Integrated Manufacturing Systems, 2022, 28(4): 1030-1041.
[16] REZAEI-MALEK M, SIADAT A, DANTAN J Y, et al. A trade-off between productivity and cost for the integrated part quality inspection and preventive maintenance planning under uncertainty[J]. International Journal of Production Research, 2019, 57(19): 5951-5973.
[17] POLOTSKI V, KENNE J P, GHARBI A. Joint production and maintenance optimization in flexible hybrid Manufacturing-Remanufacturing systems under age-dependent deterioration[J]. International Journal of Production Economics, 2019, 216: 239-254.
[18] HAJEJ Z, REZG N, BOUSLIKHANE S. A jointly integrated maintenance and emission optimization for a manufacturing and remanufacturing system[C]//2017 IEEE International Conference on Industrial Engineering and Engineering Management. Singapore,Singapore:IEEE, 2017: 1893-1897.
[19] 陈竹, 周晓军. 质量驱动的两设备串行再制造系统预防维护[J]. 计算机集成制造系统, 2023, 29(10): 3472-3482.
  CHEN Zhu, ZHOU Xiaojun. Product quality driven preventive maintenance modeling for two-unit serial remanufacturing systems[J]. Computer Integrated Manufacturing Systems, 2023, 29(10): 3472-3482.
[20] LI L, WANG Y, LIN K Y. Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization[J]. Journal of Intelligent Manufacturing, 2021, 32(2): 545-558.
[21] BAYKASO?LU A, MADENO?LU F S. Greedy randomized adaptive search procedure for simultaneous scheduling of production and preventive maintenance activities in dynamic flexible job shops[J]. Soft Computing, 2021, 25(23): 14893-14932.
[22] 周炳海, 刘子龙. 考虑衰退的流水车间生产与预防性维护集成调度方法[J]. 计算机集成制造系统, 2016, 22(5): 1272-1278.
  ZHOU Binghai, LIU Zilong. Integrated scheduling method of production and preventive maintenance in flow shops with degradations[J]. Computer Integrated Manufacturing Systems, 2016, 22(5): 1272-1278.
[23] GHALEB M, TAGHIPOUR S, SHARIFI M, et al. Integrated production and maintenance scheduling for a single degrading machine with deterioration-based failures[J]. Computers & Industrial Engineering, 2020, 143: 106432.
[24] COX D R, OAKES D. Analysis of survival data[M]. New York,USA: Chapman and Hall/CRC, 2018.
[25] ZHOU X, YU M. Semi-dynamic maintenance scheduling for multi-station series systems in multi-specification and small-batch production[J]. Reliability Engineering & System Safety, 2020, 195: 106753.
Options
文章导航

/

〈 〉