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Reducing Variation in an Existing Process with Robust Parameter Design

Summary: [This abstract is based on the authors' abstract.] Finding and controlling the causes of variation in product features is one way to control variability, but it may not be cost effective. Another method to control variation is to reduce the sensitivity of the process to the main sources of variation with a robust parameter design approach. Two classes of proposed plans to help implement robust parameter design, desensitization experiments and robust experiments, are compared. It is determined that for an existing process, desensitization is the preferred method.

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  • Topics: Statistics, Design of Experiments, Statistical Process Control (SPC)
  • Keywords: Sensitivity analysis, Robust design, Statistical engineering, Taguchi method, Variation
  • Author: Asilahijani, Hossein; Steiner, Stefan H.; MacKay, R. Jock
  • Journal: Quality Engineering