Journal of Shanghai Jiao Tong University ›› 2021, Vol. 55 ›› Issue (3): 229-235.doi: 10.16183/j.cnki.jsjtu.2019.345

Special Issue: 《上海交通大学学报》2021年12期专题汇总专辑 《上海交通大学学报》2021年“机械工程”专题

Previous Articles     Next Articles

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

GAO Yingming, CHEN Zhen, ZHANG Xiufang, PAN Ershun()   

  1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2019-11-30 Online:2021-03-01 Published:2021-04-02
  • Contact: PAN Ershun


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

CLC Number: