[EN] Latent variable regression model (LVRM) inversion is a relevant tool for finding, if they exist, different combinations of manufacturing conditions that yield the desired process outputs. Finding the best manufacturing conditions can be done by optimizing an appropriately formulated objective function using nonlinear programming. To this end, different formulations of the optimization problem based on LVRM inversion have been proposed in the literatura that allow the use of happenstance data (eg, historical data) for this purpose, present lower computational costs than optimizing in the space of the original variables, and guarantee that the solution will conform to the correlation structure of available data from the past. 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Agencia Estatal de Investigacion, Grant/Award Number: DPI2017-82896-C2-1-R; European Regional Development Fund; Ministerio de Economia, Industria y Competitividad, Gobierno de Espana; Universitat Politecnica de Valencia, Grant/Award Number: Erasmus 2014.93231

State Research Agency, Grant/Award Number: DPI2017-82896-C2-1-R; European Regional Development Fund; Ministry of Economy, Industry and Competitiveness, Government of Spain; Universitat Polytecnica de Valencia, Grant/Award Number: Erasmus 2014.93231

Improved formulation of the latent variable model inversion¿based optimization problem for quality by design applications

Abstract