Title 



Prespecified factor level combinations in the optimal design of mixtureprocess variable experiments
 
Author 



 
Abstract 



Designed experiments allow researchers to explore and understand the relation between sets of experimental factors and one or more responses. However, there are many cases where the experimenter cannot determine the factor levels freely. In this article, we study a baking experiment where the interest is in understanding the relationship between flour characteristics and bread quality. The experimental factors are six mixture components and one observable process variable, so that the baking experiment is a mixtureprocess variable (MPV) experiment. The starting point for the study is an available stock of 30 flour samples for which the mixture component proportions and the level of the process variable have been determined using an elaborate chemical analysis. The challenge for the experimenter is to determine which flour samples, or which combinations of flour samples, should be used in the actual experiment. Since the design region is highly constrained and the usable factor levels are dictated by the set of 30 initial flour samples, classical MPV designs are not applicable and an optimal design approach is required. We compare two different design strategies, one based on a pointexchange algorithm and another based on a coordinateexchange algorithm. The coordinateexchange algorithm leads to the most efficient design since it is not bounded by a given candidate set of points. However, it requires the calculation of the convex hull of the set of 30 flour samples along with the related constraints. Because of the high dimensionality of the problem, determining the convex hull and using it to create the constraints for the experimental design is a tedious process. In contrast, the pointexchange algorithm starts from a candidate set of possible factor level combinations, a limitation that lowers the efficiency of the design but results in a design that is very easy to implement.   
Language 



English
 
Source (journal) 



Food quality and preference.  Harlow  
Publication 



Harlow : 2011
 
ISSN 



09503293
 
Volume/pages 



22:7(2011), p. 661670
 
ISI 



000293425300007
 
Full text (Publishers DOI) 


  
