Development of the statistical process control methods

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...

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Bibliographic Details
Main Authors: Radovanov Boris
Marcikić Aleksandra
Format: Article
Published: 2010
Series:Proceedings of the Challenges for Analysis of the Economy, the Businesses, and Social Progress : International Scientific Conference Szeged, November 19-21, 2009
Kulcsszavak:Minőségszabályozás, Statisztikai folyamatirányítás
Online Access:http://acta.bibl.u-szeged.hu/57868
Description
Summary: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.
Physical Description:1232-1248
ISBN:978-963-06-9558-9