Testing line optimization based on mathematical modeling from the metamodels obtained from a simulation

This study is based on a real scenario in which simulation modeling is used in order to understand the behavior of the system. Sensitivity analysis, design of experiments, regression analysis for metamodeling purposes, and optimization are key elements of the simulation output analysis and are used in order to identify critical parameters and their relationship to multiple responses or output variables. Understanding this relationship allows to build mathematical expressions for the output variables which are the foundation for the optimization. Typical simulation optimization methods are not of practical value for this application. An optimization tool based on mathematical programming is developed. The tool is validated in terms of the metamodels´ accuracy and the capacity to find a local optimum within the search region.