Advanced Methods of Statistical Process Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F16%3A00092045" target="_blank" >RIV/62156489:43110/16:00092045 - isvavai.cz</a>
Result on the web
<a href="http://pefnet.pefka.mendelu.cz/sites/default/files/sbornik_verze_FIN_WEB.pdf" target="_blank" >http://pefnet.pefka.mendelu.cz/sites/default/files/sbornik_verze_FIN_WEB.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Advanced Methods of Statistical Process Control
Original language description
Continuous quality improvement is common part of business stratégy of many companies. Quality control is essential especially in manufacture processes. Widely used Shewhart control charts for individual measurements are easily applicable but less sensitive indetecting proces shifts. Hence advanced methods of statistical process control, EWMA and CUSUM, are increasingly used. The sensitivity of these methods was compared on the basis of the interpretation of the resulting control charts and the average run length. It was proven that the methods EWMA and CUSUM are more suitable in statistical proces control, in which the individual values are analyzed, since they are capable of detecting even a small process shifts. Thanks to that operator is able to adjust the process faster.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů