Research on statistical process control method for multi-variety and small batch production mode

被引:0
作者
Song, Huaming [1 ]
Xu, Rui [1 ]
Wang, Chun [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Econ Management, Nanjing 210094, Peoples R China
来源
PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020) | 2020年
关键词
Multi-variety and small batch production; Statistical process control; Control chart; Parameter optimization; SPC-Q-CHARTS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Aiming at the problem that the traditional statistical process control method is difficult to be applied into the multivariety and small batch production mode, this paper proposes a T-EWMA control chart to monitor the mean value of this particular production process. Then, the MonteCarlo simulation method is used to compare the performance of this proposed control chart with the traditional T control chart. The simulation results show that the anomaly recognition ability of the T-EWA11 control chart is significantly better than the traditional T control chart. Finally, based on the Markov Chain theory, this paper presents a parameter optimization method for the T-EWM4 control chart.
引用
收藏
页码:2377 / 2381
页数:5
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