Journal of Economics Theory
ISSN: OnlineISSN: Print 1994-8212
Abstract
Robust Parameter Design (RPD) is an engineering methodology intended as a cost effective approach for improving the quality of products and processes. An essential component of robust parameter design involves the assumption of well estimated models for the process mean and variance. In this study, researchers examine the effect of three factors, temperature, time and liposome on the results of color strength (K/S) in dying process of wool fibers by application two different methods, namely; parametric and nonparametric to modeling a dual response surface (mean and variance) and then optimize this process in both methods within the robust design setting. Comparing the results suggest the relative superiority of nonparametric method in terms of SEL.
How to cite this article:
Mohammad Taremi. Comparison of Parametric and Nonparametric Approaches in Robust Parameter Design (A Case Study in Textile Systems).
DOI: https://doi.org/10.36478/jeth.2012.99.106
URL: https://www.makhillpublications.co/view-article/1994-8212/jeth.2012.99.106