Comparison of the cuscore, GLRT and cusum control charts for detecting a dynamic mean change |
| |
Authors: | Dong Han Fugee Tsung |
| |
Institution: | (1) Department of Mathematics, Shanghai Jiao Tong University, 200030 Shanghai, China;(2) Department of Industrial Engineering and Engineering Management, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China |
| |
Abstract: | Although statistical process control (SPC) techniques have been focused mostly on detecting constant mean shifts, dynamic
and time-varying process changes frequently occur in the monitoring of feedback-controlled and autocorrelated processes. In
this research, the performances of cumulative score (Cuscore), generalized likelihood ratio test (GLRT), and cumulative sum
(CUSUM) charts in detecting a dynamic mean change that finally approaches a steady-state value are compared. Theoretical results
in average run length (ARL) comparison are provided. From the theretical study we find that, when the steady-state value is
greater or less than a critical value,Rδ/2+δ/2, the Cuscore and CUSUM charts have a different performance in detecting the mean change. We prove also that the GLRT has
the best performance among the three charts in detecting any mean change for which the steady-state value is not equal to
δ or δR, when the in-control ARL is large. |
| |
Keywords: | Statistical process control change point detection average run length |
本文献已被 SpringerLink 等数据库收录! |
|