Mohammad  Taremi, 
    Comparison of Parametric and Nonparametric Approaches in Robust Parameter Design (A Case Study in Textile Systems),
    Journal of Economics Theory,
    Volume 6,Issue 3,
    2012,
    Pages 99-106,
    ISSN 1994-8212,
    jeth.2012.99.106,
    (https://makhillpublications.co/view-article.php?doi=jeth.2012.99.106)
    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.
    Keywords: Liposome;wool dyeing;color strength (K/S);central composite design;genetic algorithm;Iran