The Value of Pre-Experiment Analysis of Process Data


Burkhardt, James A.; Delvecchio, Olga   (1989, ASQC)   Stelco Technical Services Ltd., Burlington, Ontario, Canada

Annual Quality Congress, Toronto, Ontario, Canada    Vol. 43    No. 0
QICID: 3652    May 1989    pp. 749-754
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Article Abstract

Historically, experiments performed in the production environment have been compromised by restricting process engineers and researchers to the investigation of a few parameters at a time to reduce the amount of lost production time. Unfortunately, this type of investigation does not always identify all the sources of variation in the process and often results in misleading conclusions.

Taguchi designed experiments have recently gained acceptance are now frequently applied in the industrial environment; however, these experiments can still be very costly in terms of manpower, material, lost production and time so it becomes increasingly important for the experimenter to "get it right the first time."

Pre-experiment analysis of process data can help identify:

  • what key process parameters should be included in the experiment,
  • what parameter levels should be chosen,
  • where correlations and autocorrelations exist due to process and/or process control systems,
  • whether process response is linear or non-linear,
  • which sampling strategy to use, and
  • how to manage the experiment.
This paper describes the value of analyzing process data for the purpose of planning a cost effective experimental design in a production environmet. An actual case study from the packaging industry (using coded data) will be detailed an discussed.


Case study,Statistics,Taguchi method

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