A Nonlinear Programming Solution to the Dual Response Problem

Article

Del Castillo, Enrique; Montgomery, Douglas   (1993, ASQC)   Centro de Investigacion en Matematicas, Mexico

Journal of Quality Technology    Vol. 25    No. 3
QICID: 11362    July 1993    pp. 199-204
List $10.00
Member $5.00

FOR A LIMITED TIME, ACCESS TO THIS CONTENT IS FREE!
You will need to be signed in.
New to ASQ? Register here.

Article Abstract

Recently, Vining and Myers presented a methodology for achieving some of the goals of the Taguchi philosophy using response surface methods and a dual response optimization approach. This paper shows how the same goals can be achieved using standard nonlinear programming techniques, specifically, the generalized reduced gradient (GRG) algorithm. The procedure is illustrated using examples taken from the literature. It is shown that the proposed method can be more flexible and easier to use than the dual response approach and, in some cases, can give better solutions within the region of interest. In conclusion, it is shown how the method can be applied to multiple response mixture experiments.

Keywords

Cross training,Response surface methodology (RSM),Optimization


Browse QIC Articles Chronologically:     Previous Article     Next Article

New Search

Featured advertisers





ASQ is a global community of people passionate about quality, who use the tools, their ideas and expertise to make our world work better. ASQ: The Global Voice of Quality.