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Introduction to Engineering Statistics and Six Sigma Statistical Quality Control and Design of Experiments and Systems /

Many have heard that six sigma methods are necessary to survive, let alone thrive, in today’s competitive markets, but are not really sure what the methods are or how or when to use them. Introduction to Engineering Statistics and Six Sigma contains precise descriptions of all of the many related me...

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Bibliographic Details
Main Author: Allen, Theodore T. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2006.
Edition:1st ed. 2006.
Subjects:
Engineering economics.
Engineering economy.
Computational intelligence.
Operations research.
Decision making.
Organization.
Planning.
Statistics .
Engineering Economics, Organization, Logistics, Marketing.
Computational Intelligence.
Operations Research/Decision Theory.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Business, Management, Economics, Finance, Insurance.
Online Access:https://doi.org/10.1007/1-84628-200-4
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Table of Contents:
  • Statistical Quality Control
  • Quality Control and Six Sigma
  • Define Phase and Strategy
  • Measure Phase and Statistical Charting
  • Analyze Phase
  • Improve or Design Phase
  • Control or Verify Phase
  • Advanced SQC Methods
  • SQC Case Studies
  • SQC Theory
  • Design of Experiments (DOE) and Regression
  • DOE: The Jewel of Quality Engineering
  • DOE: Screening Using Fractional Factorials
  • DOE: Response Surface Methods
  • DOE: Robust Design
  • Regression
  • Advanced Regression and Alternatives
  • DOE and Regression Case Studies
  • DOE and Regression Theory
  • Optimization and Strategy
  • Optimization and Strategy
  • Tolerance Design
  • Six Sigma Project Design.

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