A method for robust design of products or processes with categorical response. Issue Volume 33:Issues 3(2021) (3rd July 2021)

• Record Type: Journal Article
• Authors: Erişkin, Levent; Dolgun, Leman Esra; Köksal, Gülser
• Is Part Of: Quality engineering. Volume 33:Issues 3(2021)
• Page Start: 474
• Page End: 486
• Publication Date: 2021-07-03
• Subjects: Desirability function -- multi-objective optimization -- ordered categorical response -- ordinal logistic regression -- Robust parameter design; Quality control -- Periodicals; Production management -- Quality control -- Periodicals; 658.5
• DOI: 10.1080/08982112.2021.1896732
• Languages: English
• ISSNs: 0898-2112

Abstract

Abstract: 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.