Resumen

ESPITIA-MENDEZ, Julieth Andrea  y  MENDOZA-ROJAS, Germán Leonardo. Methodology based on genetic algorithm for a textil industry company production scheduling. Ing. invest. y tecnol. [online]. 2021, vol.22, n.4, e1831.  Epub 31-Ene-2022. ISSN 2594-0732.  https://doi.org/10.22201/fi.25940732e.2021.22.4.032.

This paper presents the application of a system based on genetic algorithms, aimed at the optimization of the makespan and the amount of late works in a flexible hybrid flow shop environment in the textile industry. The methodology was evaluated in real production scenarios of the company. The developed model results reflects a decrease of C_max and U(γ), over the real company´s sample results, presenting a 79 % decrease of C_max and the reduction from 11 to 0 late work compared to the real scenarios.

Palabras llave : Makespan; late jobs; genetic algorithm; flow shop; multiobjetive.

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