A method for robust design of products or processes with categorical response


Erişkin L., Dolgun L. E. , KÖKSAL G.

Quality Engineering, vol.33, no.3, pp.474-486, 2021 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 33 Issue: 3
  • Publication Date: 2021
  • Doi Number: 10.1080/08982112.2021.1896732
  • Title of Journal : Quality Engineering
  • Page Numbers: pp.474-486
  • Keywords: Desirability function, multi-objective optimization, ordered categorical response, ordinal logistic regression, Robust parameter design, PREFERENCE ARTICULATION APPROACH, DESIRABILITY FUNCTION-METHOD, PARAMETER DESIGN, SIMULTANEOUS-OPTIMIZATION, SURFACE, TAGUCHI

Abstract

© 2021 Taylor & Francis Group, LLC.In many industries, quality characteristics are measured as ordered categorical responses due to measurement difficulties, or for cost-effectiveness. Although various approaches have been proposed to find robust levels of product and process design parameters when the response variable is continuous, the literature presents a limited number of studies with their own drawbacks for the ordered categorical response case. Motivated by this, we propose an alternative approach that models location and dispersion effects separately as functions of design parameters and finds settings of the parameters by considering both effects simultaneously and incorporating the decision maker’s preferences on the tradeoffs between them.