Titlebook: Introduction to Engineering Statistics and Lean Six Sigma; Statistical Quality Theodore T. Allen Textbook 2019Latest edition Springer-Verl

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Measure Phase and Statistical Chartingbles (KOVs) before changes are made. This information aids in evaluating effects of project-related changes and assuring that the project team is not harming the system. In general, quantitative evaluation of performance and improvement is critical for the acceptance of project recommendations. The more data, the less disagreement.

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Control or Verify Phaselly increase quality and that they continue to do so. If the associated project involves new product or service design, this phase also involves confirmation. Since there is less emphasis on evaluating a process on an on-going basis, the term “.” refers evaluation on a one-time, off-line basis.

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重畫只能放棄

DOE: The Jewel of Quality Engineeringexperimental planning, conducting experiments, and fitting models to the outputs. An essential ingredient in applying DOE methods is the use of procedure called “randomization” which is defined at the end of this chapter. To preview, randomization involves making many experimental planning decisions using a random or unpatterned approach.

EPT

conception

Regressionribed. Regression methods are perhaps the most widely used statistics or operations research techniques. Also, even though some people think of regression as merely the “curve fitting method” in Excel, the methods are surprisingly subtle with much potential for misuse (and benefit).

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