7. Process Improvement

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

Published Online: 29 AUG 2012

DOI: 10.1002/9781118491751.ch7

Basic Statistical Tools for Improving Quality

Basic Statistical Tools for Improving Quality

How to Cite

Kang, C. W. and Kvam, P. H. (2011) Process Improvement, in Basic Statistical Tools for Improving Quality, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118491751.ch7

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:

  • correlation analysis;
  • experimental design;
  • factor analysis;
  • one-way analysis;
  • process improvement;
  • regression analysis;
  • two-way analysis;
  • variance

Summary

This chapter deals with multiple factors using statistical techniques such as correlation analysis, regression, analysis of variance, and factorial design experiments. The first method, correlation analysis, is the simplest way to measure the relationship between two factors. Regression analysis is used to build an equation relating the output (Y) to one or more input factors (X). There are three basic principles of a good design: randomization, replication and blocking. The first two boil down to common sense, but the third principle of blocking actually contains a fair amount of uncommon sense. A one-way analysis of variance implies that we are focused on just one input factor that affects the process output. Two-way analysis of variance extends what we are doing with one factor in the one-way ANOVA to an ANOVA with two factors.

Controlled Vocabulary Terms

experimental design; factor analysis; process improvement; regression analysis; variance