• 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