出版日期：2008-12-01 00:00:00

著者：Kuo, Hsin-Lin; Wu, Chin-Chuan; Hsu, Shu-Ching

單位：淡江大學統計學系

出版者：臺北縣：淡江大學

著錄名稱、卷期、頁數：International Journal of Information and Management Sciences 19(4), pp.601-620

摘要：Most industrial uses of process capability ratio focus on computing and interpreting the point estimate of the desired quantity. Furthermore, the process measures are estimated based on a single random sample of observations from the normally distributed process that is in statistical control. In this article, we not only make good use of a better estimator of σ for moderate large sample size, but also consider various sample size to construct the lower confidence bounds based on subsamples in some detail in connection with minimum values for the process capability index Cpm. Some examples are also given to illustrate the procedure for checking if the process meets the capability requirement based on the lower confidence bounds.

關鍵字：Process Capability Index;Lower Confidence Bounds;Subsamples;Variable Sample Size;Relative Efficiency

語言：en

ISSN：1017-1819

期刊性質：國際

收錄於：TSSCI EI

國別：TWN

出版型式：紙本