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Flexible Manufacturing Systems Optimization with Meta-heuristic Algorithm Using Open Source Software

Abstract:

This research develops the integration between the simulation of a flexible manufacturing system and the optimization of one of its resulting parameters by applying a meta-heuristic method based on genetic algorithms and discrete event simulation. The project focuses on the application of open-source software because the costs in implementing this integration with commercial software are high for the majority of existing companies in the country. The team used Jaamsim software in the simulation stage. It is a powerful simulator with a programmer-friendly graphical interface, developed in Java. For the construction and validation of the algorithm, the same program was used. The research provides a reference for the application of a tool that improves the productivity and competitiveness of companies in the market, focusing on the analysis of resources, planning, and observation in the behavior of a flexible manufacturing system to evaluate the accumulated times in their processes.