Monitoring processes with multiple dependent production lines using time between events control charts

被引:6
作者
Ahmad, Hussam [1 ]
Ahmadi Nadi, Adel [1 ]
Amini, Mohammad [2 ]
Gildeh, Bahram Sadeghpour [2 ]
机构
[1] Ferdowsi Univ Mashhad, Fac Math Sci, Dept Stat, Mashhad, Iran
[2] Ferdowsi Univ Mashhad, Ordered Data Reliabil & Dependency Ctr Excellence, Dept Stat, Mashhad, Iran
关键词
Time between events control chart; EWMA approach; average time to signal; exponential distribution; homogeneous poisson process; MODEL; ALGORITHM;
D O I
10.1080/08982112.2023.2169161
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article develops Time Between Events (TBE) control charts to monitor processes with multiple dependent production lines. To this end, a Shewhart-type and an EWMA-type TBE chart have been proposed. The copula approach is used to describe the dependence between production lines and the homogeneous Poisson process is considered to model the number of defectives. Performance of the proposed methods is evaluated using average time to signal metric. The numerical study showed that the EWMA-TBE chart uniformly performs better than the Shewhart-type chart. Eventually, the EWMA-TBE chart is applied to monitor two real-world processes with two and four production lines.
引用
收藏
页码:639 / 668
页数:30
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