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  

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

作　　者：高英铭 陈震[1] 张秀芳 潘尔顺[1] GAO Yingming;CHEN Zhen;ZHANG Xiufang;PAN Ershun(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]上海交通大学机械与动力工程学院,上海200240

出　　处：《上海交通大学学报》2021年第3期229-235,共7页Journal of Shanghai Jiaotong University

基　　金：中国博士后科学基金资助项目(2019M661532)。

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.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.

关 键 词：制造系统可靠性 随机流网络 MARKOV过程 维护 

分 类 号：TH17[机械工程—机械制造及自动化]