Abstract
In the literature a number of control charting rules are proposed to decide whether a process is in control or out of control. Some issues with these rules will be highlighted in this article. By redefining and listing a set of rules we will evaluate their performance on the, R, S and S2 charts. Also we will compare the performance of these rules using their power curves to figure out the superior ones. Application of a few of these rules with real data sets will show their detection ability and use for practitioners.
Original language | English |
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Pages (from-to) | 1059-1067 |
Number of pages | 9 |
Journal | Quality and Reliability Engineering International |
Volume | 27 |
Issue number | 8 |
DOIs | |
State | Published - Dec 2011 |
Keywords
- biasedness
- control charts
- monotonicity
- power
- runs rules
- statistical process control
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Management Science and Operations Research