Authors: Maria L. Weese; Mary G. Leitnaker
Addresses: Department of Decision Sciences and Management Information Systems, Miami University, Oxford, OH 45056, USA. ' Department of Statistics, University of Tennessee, Knoxville, TN 37916, USA
Abstract: We present a sequential method for experimenting with mixtures when the number of mixture components is large and the experimental goal is to gain information on a subset of components for the purpose of mixture product improvement. The model-independent method utilises parameter estimates from the Cox mixture model with a current product formulation from which to begin experimentation. The advantages of our method are the ability to perform experiments using a split-plot like structure and utilise it in a sequential manner on an operating process.
Keywords: Cox mixture model; mixture experiments; mixture process optimisation; model independence; sequential experimentation; mixtures.
International Journal of Experimental Design and Process Optimisation, 2012 Vol.3 No.1, pp.33 - 42
Published online: 24 Feb 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article