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Optimal Design of the Adaptive Sample Size and Sampling Interval np Control Chart
Author(s) -
Wu Zhang,
Luo Hua
Publication year - 2004
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.566
Subject(s) - control chart , chart , sample size determination , x bar chart , statistics , interval (graph theory) , sampling (signal processing) , \bar x and r chart , statistical process control , shewhart individuals control chart , computer science , adaptive sampling , sampling interval , variable (mathematics) , mathematics , process (computing) , ewma chart , mathematical analysis , combinatorics , filter (signal processing) , monte carlo method , computer vision , operating system
Recent research has shown that the adaptive control charts are quicker than the traditional static charts in detecting process shifts. This paper develops the algorithm for the optimization designs of the adaptive np control charts for monitoring the process fraction non‐conforming p. It includes the variable sample size chart, the variable sampling interval chart, and the variable sample size and sampling interval chart. The performance of the adaptive np charts is measured by the average time to signal under the steady‐state mode, which allows the shift in p to occur at any time, even during the sampling inspection. By studying the performance of the adaptive np charts systematically, it is found that they do improve effectiveness significantly, especially for detecting small or moderate process shifts. Copyright © 2004 John Wiley & Sons, Ltd.