Development of the statistical process control methods

Radovanov, Boris and Marcikić, Aleksandra: Development of the statistical process control methods. Proceedings of the Challenges for Analysis of the Economy, the Businesses, and Social Progress : International Scientific Conference Szeged, November 19-21, 2009. pp. 1232-1248. (2010)

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Abstract

Statistical process control represents a statistical procedure using control charts to see if any part of production process is not functioning properly and could cause poor quality. Process control is achieved by taking periodic sample from the production process and plotting these sample points on a chart, to see if the process is within statistical control limits. Statistical process control prevents quality problems by correcting the process before it starts producing defects. This paper encompasses an application of statistical process control methods with numerous modifications in order to make possible appropriate process quality improvement of the soft drink production line via detecting out-of-control process or unusual patterns in a sample. Used methods corresponding with the total quality management require a never-ending process of continuous improvement that covers people, equipment, suppliers, materials and procedure. The end goal is perfection, which is never achieved but always sought.

Item Type: Article
Journal or Publication Title: Proceedings of the Challenges for Analysis of the Economy, the Businesses, and Social Progress : International Scientific Conference Szeged, November 19-21, 2009
Date: 2010
Page Range: pp. 1232-1248
ISBN: 978-963-06-9558-9
Uncontrolled Keywords: Minőségszabályozás, Statisztikai folyamatirányítás
Additional Information: Bibliogr.: 1248. p. ; összefoglalás angol nyelven
Date Deposited: 2019. May. 15. 11:09
Last Modified: 2019. May. 15. 11:09
URI: http://acta.bibl.u-szeged.hu/id/eprint/57868

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