Optimal robust and tolerance design for computer experiments with mixture proportion inputs

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

7 Scopus Citations
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Original languageEnglish
Pages (from-to)2255-2267
Journal / PublicationQuality and Reliability Engineering International
Issue number8
Online published26 Jul 2017
Publication statusPublished - Dec 2017


Computer experiments often have inputs that are proportions/fractions of components in a mixture. In these mixture computer experiments, it can be of interest to perform robust and tolerance design on the mixture proportions since the proportions are subjected to noise variations. Traditionally, manufacturing of mixture products is controlled via interval tolerances for mixture amounts. In this paper, an optimal tolerance region for proportions, which gives optimal quality cost among all possible tolerance regions for mixture proportions with the same acceptance probability, is proposed for integrated parameter and tolerance design in mixture computer experiments. Real examples are given to demonstrate the improvements that can be achieved with the optimal tolerance region.

Research Area(s)

  • Gaussian process metamodel, mixture computer experiment, optimal tolerance region, stochastic simulation