Optimal selection of robust parameter designs when some of the control-by-noise interactions are important

Article type: Research Article

Authors: Ke, Weiming

Affiliations: Department of Mathematics and Statistics, South Dakota State University, Brookings, SD 57007, USA. E-mail: [email protected]

Abstract: In robust parameter design, both control factors and noise factors are studied, and the objective is to choose the settings of control factors that are insensitive to the noise factors. Information concerning control-by-noise interactions is particularly useful for achieving this objective. In this paper, we propose and study a method for selecting the optimal robust parameter designs when some of the control-by-noise interactions are important. We then discuss how to search for the best designs according to this method and present some results for designs of 8 and 16 runs.

Keywords: Confounding, control factor, fractional factorial design, noise factor, robust parameter design

DOI: 10.3233/MAS-2007-2205

Journal: Model Assisted Statistics and Applications, vol. 2, no. 2, pp. 99-106, 2007