The optimal control chart procedure
Kybernetika (2004)
- Volume: 40, Issue: 4, page [501]-510
- ISSN: 0023-5954
Access Full Article
topAbstract
topHow to cite
topSkřivánek, Jaroslav. "The optimal control chart procedure." Kybernetika 40.4 (2004): [501]-510. <http://eudml.org/doc/33715>.
@article{Skřivánek2004,
abstract = {The moving average (MA) chart, the exponentially weighted moving average (EWMA) chart and the cumulative sum (CUSUM) chart are the most popular schemes for detecting shifts in a relevant process parameter. Any control chart system of span $k$ is specified by a partition of the space $\{\mathbb \{R\}\} ^k$ into three disjoint parts. We call this partition as the control chart frame of span $k.$ A shift in the process parameter is signalled at time $t$ by having the vector of the last $k$ sample characteristics fall out of the central part of this frame. The optimal frame of span $k$ is selected in order to maximize the average run length (ARL) if shift in the relevant process parameter is on an acceptable level and to minimize it on a rejectable level. We have proved in this article that the set of all frames of span $k$ with an appropriate metric is a compact space and that the ARL for continuously distributed sample characteristics is continuous as a function of the frame. Consequently, there exists the optimal frame among systems of span $k.$ General attitude to control chart systems is the common platform for universal control charts with the particular point for each sample and variable control limits plotted one step ahead.},
author = {Skřivánek, Jaroslav},
journal = {Kybernetika},
keywords = {control chart; frame of span $k$; average run length; probability distribution; compact metric space; control chart; frame of span ; average run length; probability distribution; compact metric space},
language = {eng},
number = {4},
pages = {[501]-510},
publisher = {Institute of Information Theory and Automation AS CR},
title = {The optimal control chart procedure},
url = {http://eudml.org/doc/33715},
volume = {40},
year = {2004},
}
TY - JOUR
AU - Skřivánek, Jaroslav
TI - The optimal control chart procedure
JO - Kybernetika
PY - 2004
PB - Institute of Information Theory and Automation AS CR
VL - 40
IS - 4
SP - [501]
EP - 510
AB - The moving average (MA) chart, the exponentially weighted moving average (EWMA) chart and the cumulative sum (CUSUM) chart are the most popular schemes for detecting shifts in a relevant process parameter. Any control chart system of span $k$ is specified by a partition of the space ${\mathbb {R}} ^k$ into three disjoint parts. We call this partition as the control chart frame of span $k.$ A shift in the process parameter is signalled at time $t$ by having the vector of the last $k$ sample characteristics fall out of the central part of this frame. The optimal frame of span $k$ is selected in order to maximize the average run length (ARL) if shift in the relevant process parameter is on an acceptable level and to minimize it on a rejectable level. We have proved in this article that the set of all frames of span $k$ with an appropriate metric is a compact space and that the ARL for continuously distributed sample characteristics is continuous as a function of the frame. Consequently, there exists the optimal frame among systems of span $k.$ General attitude to control chart systems is the common platform for universal control charts with the particular point for each sample and variable control limits plotted one step ahead.
LA - eng
KW - control chart; frame of span $k$; average run length; probability distribution; compact metric space; control chart; frame of span ; average run length; probability distribution; compact metric space
UR - http://eudml.org/doc/33715
ER -
References
top- Atienza O. O., Ang B. W., Tang L. C., 10.1108/13598539710159077, Internat. J. Quality Science 1 (1997), 37–51 (1997) DOI10.1108/13598539710159077
- Engelking R., General Topology, PWN, Warszawa 1977 Zbl0684.54001MR0500780
- Feigenbaum A. V., Total Quality Control, McGraw–Hill, New York 1991
- Gitlow H., Gitlow S., Oppenheim, A., Oppenheim R., Tools and Methods for the Improvement of Quality, Irwin, Boston 1989 Zbl0713.62102
- James P. T. J., Total Quality Management: An Introductory Text, Prentice Hall, London 1996
- Arquardt D. W., 10.1108/02656719710165464, Internat. J. Quality & Reliability Management 3 1997), 220–233 (1997) DOI10.1108/02656719710165464
- Ncube M. M., 10.1108/02656719410062894, Internat. J. Quality & Reliability Management 5 (1994), 38–45 (1994) DOI10.1108/02656719410062894
- Quesenberry C. P., SPC Methods for Quality Improvement, Wiley, New York 1997
- Roberts S. W., A comparison of some control chart procedures, Technometrics 1 (1966), 239–250 (1966) MR0196887
- Srivastava M. S., Wu Y., Economical quality control procedures based on symmetric random walk model, Statistica Sinica 6 (1996), 389–402 (1996) Zbl0843.62100MR1399310
- Taguchi G., 10.1080/03610928508829076, Commentaries in Statistics, Series A 14 (1985), 2785–2801 (1985) DOI10.1080/03610928508829076
NotesEmbed ?
topTo embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.