1. The Importance of Quality Improvement

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

Published Online: 29 AUG 2012

DOI: 10.1002/9781118491751.ch1

Basic Statistical Tools for Improving Quality

Basic Statistical Tools for Improving Quality

How to Cite

Kang, C. W. and Kvam, P. H. (2011) The Importance of Quality Improvement, in Basic Statistical Tools for Improving Quality, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118491751.ch1

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



  • birth of quality control;
  • continuous process improvement;
  • implementation of statistical procedures;
  • quality improvement;
  • statistical process control


Statistical quality control is the chief way many manufacturers realize quality improvement, and this includes sampling plans, experimental design, variation reduction, process capability analysis, process improvement plans, reliability analysis and statistical process control. SPC includes measuring the process, reducing variability in the process to make it produce a consistent output, monitoring the process, and improving the process in terms of a target value of the output. The birth of quality control started around Chicago back in 1924, at the same time when prohibition helped make the city notorious for bootlegging and gangsters. The idea of using statistical process control to improve quality is usually supported enthusiastically by business and project managers. The implementation of statistical procedures, however, is another matter. Continuous process improvement is essential for improving quality and productivity. The ultimate goal of statistical process control is to reduce the variability in the process.

Controlled Vocabulary Terms

acceptable quality level; computational statistics; quality improvement; sample-continuous process; statistical process control