Méndez Vázquez, Yaileen M.

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The search for experimental design with dozens of variables
(2015) Méndez Vázquez, Yaileen M.; Cabrera Ríos, Mauricio; College of Engineering; Méndez Piñero, Mayra; Gordillo, Luis F.; Suárez, O. Marcelo; Department of Industrial Engineering; Acuña, Edgar
Simulation models have importantly expanded the analysis capabilities in engineering designs. With larger computing power, more variables can be modeled to estimate their effect in ever-larger number of performance measures. Statistical experimental designs, however, are still somewhat focused on the variation of less than about a dozen variables. In this thesis, an effort to identify strategies to deal with dozens of variables is undertaken. The aim is to be able to generate designs capable to estimate full-quadratic models. Several strategies are contrasted: (1) generate designs with random numbers, (2) use designs already available in the literature, (3) generate designs under a clustering strategy, and (4) generate designs using random walk methods. The most significant area of opportunity is the manipulation of 50 or more variables, where the state-of-art seems to be at this point according to literature review, trials with different software packages and reviewers' feedback in referred journals.