Seijo-Vidal, Roberto L.

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Generalized reduced gradient algorithm for a local optimum of a cost function built through simulation
(2004) Seijo-Vidal, Roberto L.; Bartolomei-Suárez, Sonia M.; College of Engineering; Irizarry, María; Pagán Parés, Omell; Department of Industrial Engineering; Toledo, Freya
This project is the continuation of a previous simulation study based on a trial and error approach that pretended to find a better system. This new phase pursued a scientific approach for the simulation study in order to identify the best alternative: sensitivity analysis, design of experiments, regression analysis for metamodeling purposes, and optimization. Typical simulation optimization methods were not of practical value for this application. An optimization tool based on mathematical programming was developed using Microsoft’s Excel Solver. The tool was validated in terms of the metamodels accuracy and the capacity to find a local optimum within the search region. It was concluded that additional experimental designs were needed in order to find the global optimum. Nevertheless, the tool was valid for the practical application of this project. Finally, it was also concluded that the scientific approach rendered better results than the trial and error approach.