6. Advanced Control Charts

  1. Chang W. Kang1 and
  2. Paul H. Kvam2

Published Online: 29 AUG 2012

DOI: 10.1002/9781118491751.ch6

Basic Statistical Tools for Improving Quality

Basic Statistical Tools for Improving Quality

How to Cite

Kang, C. W. and Kvam, P. H. (2011) Advanced Control Charts, in Basic Statistical Tools for Improving Quality, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118491751.ch6

Author Information

  1. 1

    Department of Industrial and Management Engineering, Hanyang University, South Korea

  2. 2

    School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA

Publication History

  1. Published Online: 29 AUG 2012
  2. Published Print: 8 APR 2011

ISBN Information

Print ISBN: 9780470889497

Online ISBN: 9781118491751

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Keywords:

  • cumulative sum (CUSUM) control charts;
  • CV control chart;
  • EWMA control charts;
  • process capability analysis

Summary

In order to resolve the unresponsiveness of Shewhart control charts in terms of small shifts in the process, the cumulative sum (CUSUM) control charts and the exponentially weighted moving average (EWMA) control charts are very good alternatives. The CUSUM control charts use the equally weighted information in the sequence of samples to monitor the process. Like the CUSUM control chart, the exponentially weighted moving average (EWMA) control chart uses an average of past measurements (usually individual observations) from the process in order to signal whether the process is in control or not. The CV chart is a “specialty chart” that should be applied when simpler charts are not appropriate. A nonparametric statistical procedure is one that does not presume the data are from the normal distribution. Process Capability is generally a function of the natural variability of the product output, so we can achieve success by reducing the product variability.

Controlled Vocabulary Terms

control charts; process capability