Robust Parameter Design with Categorical Noise Variables

JMP white paper on a tablet

Robust parameter design has been extensively studied and applied in industrial experiments over the past twenty years. The purpose of robust parameter design is to design a process or product that is robust to uncontrollable changes in the noise variables. In many applications the noise variables are continuous, for which several assumptions, often difficult to verify in practice, are necessary to estimate the response variance. In this paper, we consider the case where the noise variable is categorical in nature. We discuss the impact that the assumptions for continuous and categorical noise variables have on the robust settings and on the overall process variance estimate. A designed experiment from industry is presented to illustrate the results.

Reprinted with permission from Journal of Quality Technology. ©2003 ASQ American Society for Quality. No further distribution allowed without permission.

*
*
*
*
  Ich möchte JMP Newswire, den monatlichen Newsletter für JMP Anwender, abonnieren.
  Ja, ich möchte gelegentlich E-mails zu JMP Produkten und Veranstaltungen erhalten.

Mit dem Absenden dieses Formulars akzeptieren Sie die Nutzungsbedinungen von SAS Institute GmbH für das vorliegende Informationsangebot. Ihre Daten werden selbstverständlich vertraulich gemäß der SAS Privacy Policy gehandhabt.

 
 

Back to Top