上海交通大学学报

上海交通大学学报 >

2018 , Vol. 52 >Issue 3: 332 - 339

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2018.03.012

学报（中文）

批量生产模式下考虑设备运行负荷的预防维护策略

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  • 1. 上海交通大学 机械与动力工程学院，上海 200240； 2. 上海理工大学 管理学院， 上海 200093

网络出版日期: 2018-03-28

基金资助

国家自然科学基金项目(71461018，71361019)

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Preventive Maintenance of a Single Machine System with Batch Production Pattern under Time-Varying Workload

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  • 1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China

Online published: 2018-03-28

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摘要

以批量生产模式下的单设备生产系统为研究对象，考虑设备在不同批量下运行负荷不同，建立了扩展混合非完美维护模型，并采用极大似然法对参数进行估计.考虑生产计划以批量为周期滚动更新，为确保同一批量产品的质量具有一致性，设定预防维护只能在批量转换时刻实施，提出了一种基于当前生产计划的动态预防维护策略.在每个批量转换时刻进行决策，随着生产计划的更新，动态决策出最佳预防维护时刻点.算例证明了考虑负荷的必要性和模型的有效性.

关键词： 动态负荷; 非完美维护; 批量生产; 维护成本率

本文引用格式

胡家文1，蒋祖华1，侯文瑞2，裴海燕1，王海丽1，孙小明1 . 批量生产模式下考虑设备运行负荷的预防维护策略[J]. 上海交通大学学报, 2018 , 52(3) : 332 -339 . DOI: 10.16183/j.cnki.jsjtu.2018.03.012

Abstract

This paper takes a single-machine system as the research object. The situation where the workload varies from batch to batch is considered. An extended hybrid imperfect maintenance model taking operational condition (OC) into account is developed. Maximum likelihood method is adopted to estimate the parameters. This study proposes a preventive maintenance (PM) policy with a short-term production plan for the situation where production plan is updated after the completion of each batch; meanwhile, PM can only be implemented at each batch-shift point. A numerical example is provided to illustrate the necessity of integrating OC with PM optimization and to validate the effectiveness of the proposed PM strategy.

Key words： variable workload; imperfect preventive maintenance; batch production; cost rate

参考文献

［1］胡家文, 蒋祖华, 韩李杰. 工况时变下设备预防维护策略［J］. 上海交通大学学报, 2016, 50(5): 736-741. HU Jiawen, JIANG Zuhua, HAN Lijie. Preventive maintenance for machine operating under dynamic environmental state［J］. Journal of Shanghai Jiao Tong University, 2016, 50(5): 736-741. ［2］NEWBY M. Perspective on Weibull proportional-hazards models［J］. IEEE Transactions on Reliability, 1994, 43(2): 217-223. ［3］LIU H, MAKIS V. Cutting-tool reliability assessment in variable machining conditions［J］. IEEE Transactions on Reliability, 1996, 45(4): 573-581. ［4］MALIK M A K. Reliable preventive maintenance scheduling［J］. AIIE Transactions, 1979, 11(3): 221-228. ［5］ GUO H, LIAO H, ZHAO W, et al. A new stochastic model for systems under general repairs［J］. IEEE Transactions on Reliability, 2007, 56(1): 40-49. ［6］ ZHOU X, XI L, LEE J. Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation［J］. Reliability Engineering and System Safety, 2007, 92(4): 530-534. ［7］HU J W, JIANG Z H, WANG H. Preventive maintenance for a single-machine system under variable operational conditions［J］. Proceedings of the Institution of Mechanical Engineers. Part O: Journal of Risk and Reliability, 2016, 230(4): 391-404.
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