Author： Chan L. Y. Lin D. K. J. Xie M. Goh T. N.
Publisher： Taylor & Francis Ltd
ISSN： 0020-7543
Source： International Journal of Production Research, Vol.40, Iss.1, 2002-01, pp. : 133-150
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
A statistical process control chart called the cumulative probability control chart (CPC-chart) is proposed. The CPC-chart is motivated from two existing statistical control charts, the cumulative count control chart (CCC-chart) and the cumulative quantity control chart (CQC-chart). The CCC- and CQC-charts are effective in monitoring production processes when the defect rate is low and the traditional p- and c-charts do not perform well. In a CPC-chart, the cumulative probability of the geometric or exponential random variable is plotted against the sample number, and hence the actual cumulative probability is indicated on the chart. Apart from maintaining all the favourable features of the CCC- and CQC-charts, the CPC-chart is more flexible and it can resolve a technical plotting inconvenience of the CCC- and CQC-charts.
Related content
Access to resources
Recommend
Adaptive cumulative sum charts with the adaptive runs rule
By Kim J.
International Journal of Production Research, Vol. 51, Iss. 15, 2013-08 ,pp. :
General control charts for variables
By Shore H.
International Journal of Production Research, Vol. 38, Iss. 8, 2000-05 ,pp. :
On fuzzy and probabilistic control charts
International Journal of Production Research, Vol. 40, Iss. 12, 2002-08 ,pp. :
Confirmation sample control charts
International Journal of Production Research, Vol. 37, Iss. 4, 1999-03 ,pp. :