上海交通大学学报

上海交通大学学报 >

2021 , Vol. 55 >Issue 3: 229 - 235

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2019.345

基于随机流网络与Markov过程的制造系统可靠性建模及维护优化

展开
  • 上海交通大学　机械与动力工程学院，上海 　200240
高英铭(1995-)，男，辽宁省鞍山市人，硕士生，主要研究方向为制造系统的可靠性建模．

收稿日期: 2019-11-30

  网络出版日期: 2021-04-02

基金资助

中国博士后科学基金资助项目(2019M661532)

收起

Reliability Modeling and Maintenance Optimization of Manufacturing System Based on Stochastic Flow Network and Markov Process

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

Received date: 2019-11-30

  Online published: 2021-04-02

Fold

摘要

针对制造系统中设备数量与输入的不确定性，考虑制造过程中的不良品以及不良品的返工情况，分析系统可靠性与各设备数量、设备输入的关系，建立基于随机流网络的制造系统可靠性评价模型．采用齐次Markov过程对系统衰退和维护进行状态分析，以最小化维护成本为目标，以系统可靠性为约束，建立系统设备的维护模型．通过算例分析，验证该模型的有效性和先进性．

关键词： 制造系统可靠性; 随机流网络; Markov过程; 维护

本文引用格式

高英铭, 陈震, 张秀芳, 潘尔顺 . 基于随机流网络与Markov过程的制造系统可靠性建模及维护优化[J]. 上海交通大学学报, 2021 , 55(3) : 229 -235 . DOI: 10.16183/j.cnki.jsjtu.2019.345

Abstract

Aimed at the uncertainty of equipment quantity and input, the defective products and its rework in the manufacturing process are investigated. Considering the influence of the number or input of the devices on system reliability, a manufacturing system reliability evaluation model is established based on stochastic flow network. The homogeneous Markov process is used to analyze the state of system degradation and maintenance. Considering the constraint of system reliability, a systematic maintenance model is proposed to minimize maintenance cost. The results of the numerical experiment demonstrate that the proposed model is effective and advanced.

Key words： manufacturing system reliability; stochastic flow network; Markov process; maintenance

参考文献

[1] 包伟伟. 制造系统可靠性分析框架与评价模型研究[D]. 长春： 吉林大学，2018.
[1] BAO Weiwei. Research on reliability analysis framework and evaluation model of manufacturing system[D]. Changchun: Jilin University, 2018.
[2] DUTUIT Y, RAUZY A. Approximate estimation of system reliability via fault trees[J]. Reliability Engineering & System Safety, 2005, 87(2): 163-172.
[3] LISNIANSKI A, FRENKEL I, KHVATSKIN L. On Birnbaum importance assessment for aging multi-state system under minimal repair by using the Lz-transform method[J]. Reliability Engineering & System Safety, 2015, 142: 258-266.
[4] CHANG P C, LIN Y K. Reliability analysis for an apparel manufacturing system applying fuzzy multistate network[J]. Computers & Industrial Engineering, 2015, 88: 458-469.
[5] 赵子任，杜世昌，黄德林，等. 多工序制造系统暂态阶段产品质量马尔科夫建模与瓶颈分析[J]. 上海交通大学学报，2017, 51(10): 1166-1173.
[5] ZHAO Ziren, DU Shichang, HUANG Delin, et al. Modelling and bottleneck analysis of product quality in transient phase of multi-stage manufacturing systems based on Markovian chains[J]. Journal of Shanghai Jiao Tong University, 2017, 51(10): 1166-1173.
[6] 何益海，沈珍，尹超. 基于过程质量数据的制造系统可靠性建模分析[J]. 北京航空航天大学学报，2014, 40(8): 1027-1032.
[6] HE Yihai, SHEN Zhen, YIN Chao. Reliability analysis modeling of manufacturing systems based on process quality data[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(8): 1027-1032.
[7] 刘银华，纪飞翔，叶夏亮. 车身多工位装配系统可靠性评估与维护策略研究[J]. 中国机械工程，2016, 27(2): 273-277.
[7] LIU Yinhua, JI Feixiang, YE Xialiang. Study on reliability evaluation and maintenance policy of auto body multi-station assembly system[J]. China Mechanical Engineering, 2016, 27(2): 273-277.
[8] 杜世昌，奚立峰，潘尔顺. 多阶段制造系统中尺寸偏差建模与控制[J]. 上海交通大学学报，2006, 40(4): 583-587.
[8] DU Shichang, XI Lifeng, PAN Ershun. Modeling and controlling of dimensional variation in multi-stage manufacturing system[J]. Journal of Shanghai Jiao Tong University, 2006, 40(4): 583-587.
[9] LIU Y W, KAPUR K K C. Customer’s cumulative experience measures for reliability of non-repairable aging multi-state systems[J]. Quality Technology & Quantitative Management, 2007, 4(2): 225-234.
[10] 周丰旭，李爱平，李益，等. 基于状态熵的多态制造系统可靠性分析[J]. 计算机集成制造系统，2016, 22(4): 1070-1078.
[10] ZHOU Fengxu, LI Aiping, LI Yi, et al. Reliability analysis of multi-state manufacturing systems based on state entropy[J]. Computer Integrated Manufacturing Systems, 2016, 22(4): 1070-1078.
[11] SHARMA R K, SHARMA P. Qualitative and quantitative approaches to analyse reliability of a mechatronic system: A case[J]. Journal of Industrial Engineering International, 2015, 11(2): 253-268.
[12] LIN Y K, HUANG C F, CHANG P C. System reliability evaluation of a touch panel manufacturing system with defect rate and reworking[J]. Reliability Engineering & System Safety, 2013, 118: 51-60.
[13] TINA S W, LIN P. System reliability of stochastic networks with multiple reworks[J]. Reliability Engineering & System Safety, 2018, 169: 258-268.
[14] CHANG P C, LIN Y K, CHIANG Y M. System reliability estimation and sensitivity analysis for multi-state manufacturing network with joint buffers—A simulation approach[J]. Reliability Engineering & System Safety, 2019, 188: 103-109.
[15] GU C C, HE Y H, HAN X. A novel approach for mission reliability modeling of manufacturing system based on the state change of machines and materials[J]. Procedia CIRP, 2016, 57: 286-291.
[16] CHAN G K, ASGARPOOR S. Optimum maintenance policy with Markov processes[J]. Electric Power Systems Research, 2006, 76(6/7): 452-456.
[17] XIANG Y S. Joint optimization of control chart and preventive maintenance policies: A discrete-time Markov chain approach[J]. European Journal of Operational Research, 2013, 229(2): 382-390.
Options
文章导航

/

〈 〉