个人信息Personal Information
研究员
博士生导师
硕士生导师
性别:男
毕业院校:吉林工业大学
所在单位:机械工程学院
电子邮箱:wangld@dlut.edu.cn
An Efficient Semi-Analytical Simulation for Availability Evaluation of Discrete Production Lines with Unreliable Machines
点击次数:
论文类型:会议论文
发表时间:2016-01-01
收录刊物:CPCI-S
页面范围:115-121
关键字:discrete production line; availability evaluation; semi-analytical simulation; output
摘要:This paper presents a semi-analytical simulation which combines analytical model and Monte Carlo technique to simulate the operation of discrete production lines. The purpose is to rapidly evaluate the availability for lines with unreliable machines and finite buffers in the design phase. Firstly, description of production line and availability definition are exhibited. Then, an output and inventory model is proposed to calculate the system output based on the failure data. With the help of Monte Carlo technique, the availability of the whole line in different system parameters can be obtained by iterating this analytical algorithm. Compared with real-time simulation, this semi-analytical simulation can remarkably reduce the computational load to failure number level without losing accuracy. Finally, numerical examples are carried out, and the results indicate that the proposed method is flexible and efficient by comparing with other four methods.