DocumentCode
165102
Title
SW support for CCC and CQC control charts
Author
Noskievicova, Darja ; Mahdal, Miroslav ; Brodecka, Katerina
Author_Institution
VrB-TU, Ostrava, Czech Republic
fYear
2014
fDate
28-30 May 2014
Firstpage
387
Lastpage
392
Abstract
Statistical process control (SPC) is an approach to process control that has been widely used in any industrial or non-industrial fields. SPC is based on so called Shewhart´s conception of the process variability. This conception distinguishes variability caused by obviously effected common causes from variability caused by abnormal assignable causes. New manufacturing technologies and concepts strongly contributed to the real attainment of a high level of the processes capability. In such conditions a distinction of common variability causes from assignable causes is more and more difficult. Conventional attribute control charts are not adequate solution for monitoring and control of the processes with very low level of defects (in terms of ppm). The answer can be found in the application of CCC and CQC control charts. The paper deals with the presentation of the SW application which was created to contribute to the practical deployment of these effective control charting methods in practice.
Keywords
control charts; statistical process control; CCC control charts; CQC control charts; SPC; SW application; Shewhart conception; control charting methods; manufacturing technologies; process capability; process variability; statistical process control; Control charts; Graphical user interfaces; Inspection; Mathematical model; Monitoring; Process control; CCC control chart; CQC control chart; parameter of CCC-r control chart;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ICCC), 2014 15th International Carpathian
Conference_Location
Velke Karlovice
Print_ISBN
978-1-4799-3527-7
Type
conf
DOI
10.1109/CarpathianCC.2014.6843633
Filename
6843633
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