JSM 2004 - Toronto

Abstract #300143

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Activity Number: 174
Type: Invited
Date/Time: Tuesday, August 10, 2004 : 8:30 AM to 10:20 AM
Sponsor: IMS
Abstract - #300143
Title: Design of Experiments for Screening, Exploration, and Optimization
Author(s): C.F. Jeff Wu*+
Companies: Georgia Institute of Technology
Address: School of Industrial and Systems Engineering, Atlanta, GA, 30332-0205,
Keywords: factor screening ; response surface ; orthogonal arrays ; optimization ; projection aberration
Abstract:

Orthogonal arrays are widely used in industrial experiments for factor screening. In many practical situations only a few of the factors will turn out to be important. Previous work shows that an orthogonal array can be used not only for screening factors but also for detecting interactions among a subset of active factors. A set of optimality criteria is proposed to assess the performance of designs for factor screening, projection, and interaction detection, and a three-step approach is proposed to search for optimal designs. Combinatorial and algorithmic construction methods are proposed for generating new designs. Level permutation methods are used for improving the eligibility and estimation efficiency of the projected designs. The techniques are then applied to search for best three-level designs with 18 and 27 runs. Many new, efficient and practically useful nonregular designs are found and their properties discussed. (Joint work with Hongquan Xu and Shaowei Cheng.)


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Revised March 2004