Statistical process control;
Control charts;
Shewhart;
Runs rules;
Scans rules;
Patterns;
Markov chain;
Average run length;
62N10;
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摘要:
The aim of this paper is to present the basic principles and recent advances in the area of statistical process control charting with the aid of runs rules. More specifically, we review the well known Shewhart type control charts supplemented with additional rules based on the theory of runs and scans. The motivation for this article stems from the fact that during the last decades, the performance improvement of the Shewhart charts by exploiting runs rules has attracted continuous research interest. Furthermore, we briefly discuss the Markov chain approach which is the most popular technique for studying the run length distribution of run based control charts.
机构:
Southern Illinois Univ,, Edwardsville, IL, USA, Southern Illinois Univ, Edwardsville, IL, USASouthern Illinois Univ,, Edwardsville, IL, USA, Southern Illinois Univ, Edwardsville, IL, USA
Champ, Charles W.
Woodall, William H.
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机构:
Southern Illinois Univ,, Edwardsville, IL, USA, Southern Illinois Univ, Edwardsville, IL, USASouthern Illinois Univ,, Edwardsville, IL, USA, Southern Illinois Univ, Edwardsville, IL, USA
机构:
Univ Groningen, Univ Med Ctr Groningen, NL-9713 AV Groningen, NetherlandsUniv Amsterdam, Inst Business & Ind Stat, NL-1018 TV Amsterdam, Netherlands
Trip, Albert
Does, Ronald J. M. M.
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机构:
Univ Amsterdam, Inst Business & Ind Stat, NL-1018 TV Amsterdam, NetherlandsUniv Amsterdam, Inst Business & Ind Stat, NL-1018 TV Amsterdam, Netherlands