A generalized EWMA control chart and its comparison with the optimal EWMA, CUSUM and GLR schemes

• 成果类型: Article
• 署名作者: Han, D; Tsung, F
• 署名单位: Shanghai Jiao Tong University; Hong Kong University of Science & Technology
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• 发表日期: 2004
• 页码: 316-339
• 关键词: interval control charts; run-length distributions; average control schemes; fixed times; shift; spc

摘要

It is known that both the optimal exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) control charts are based on a given reference value delta, which, for the CUSUM chart, is the magnitude of a shift in the mean to be detected quickly. In this paper a generalized EWMA control chart (GEWMA) which does not depend on delta is proposed for detecting the mean shift. We compare theoretically the GEWMA control chart with the optimal EWMA, CUSUM and the generalized likelihood ratio (GLR) control charts. The results of the comparison in which the in-control average run length approaches infinity show that the GEWMA control chart is better than the optimal EWMA control chart in detecting a mean shift of any size and is also better than the CUSUM control chart in detecting the mean shift which is not in the interval (0.7842delta, 1.3798delta). Moreover, the GLR control chart has the best performance in detecting mean shift among the four control charts except when detecting a particular mean shift delta, when the in-control average run length approaches infinity.