Optimization of a product performance using mixture experiments

L.H.A. Dal Bello and A. F. C. Vieira

Journal of Applied Statistics, 2010, vol. 37, issue 1, 105-117

Abstract: This article presents a case study of a chemical compound acting as a subsystem of a delay mechanism for starting a rocket engine. The objective of this study was to investigate the proportions of mix components that enable a previously specified burning time. Thus, a linear regression model with normal responses was fitted, but later considered inadequate, as there was evidence that the response variance was not constant. Models fitted by the quasi-likelihood method were tried then. Through the developed model, it was possible to determine the proportion of each component to accomplish the process optimization. For the process optimization, besides considering a specific burning time, it was possible to consider the variance minimization for this time prediction as well.

Keywords: mixture experiments; optimization; quality; quasi-likelihood; regression (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1080/02664760802647976

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