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Adaptive Control Charts: Recent Developments and Extensions
Author(s) -
Psarakis Stelios
Publication year - 2015
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.1850
Subject(s) - control chart , statistical process control , univariate , control (management) , quality (philosophy) , shewhart individuals control chart , computer science , engineering , ewma chart , artificial intelligence , machine learning , multivariate statistics , process (computing) , philosophy , epistemology , operating system
Statistical quality control is a very useful tool in the hands of business in order to improve their products quality. The control charts are the most widely used and the most effective tool of the statistical quality control. In this paper, the substantial recent developments in the design of the adaptive control charts, focusing on the univariate control charts, which allow some of their parameters to change during production, are presented. Copyright © 2015 John Wiley & Sons, Ltd.