Abstract #301621

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JSM 2002 Abstract #301621
Activity Number: 321
Type: Contributed
Date/Time: Wednesday, August 14, 2002 : 12:00 PM to 1:50 PM
Sponsor: Section on Quality & Productivity*
Abstract - #301621
Title: Robust Parameter Designs: An Empirical Study
Author(s): Fassil Nebebe*+ and Tak Mak
Affiliation(s): Concordia University and Concordia University
Address: 1455 de Maisonneuve Blvd. West, Montreal, Quebec, H3G1M8, Canada
Keywords:
Abstract:

Parameter designs have been widely used in off-line quality control to find optimal settings that would minimize the variance of a process. Different methods of modeling and analysis, such as data transformation, heteroscesdastic regression, generalized linear modeling, and interaction modeling, have been suggested to accomplish this goal. This paper will study the practical implications in using these methods. The performance of these methods will be compared empirically, using both real and simulated data under a certain proposed criterion. This hopefully will help practitioners make a more appropriate choice of strategy in a given application.

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