Professora Dra. Fernanda Souza do Nascimento2025-04-222014CIRINO, Weverson dos Santos et al. Optimización del proceso de montaje de componentes SMD usando algoritmo genético multiobjetivo en la industria. In: Anais do III CIIC 2014 - Foro Internacional: V - Sostenibilidad de la ingeniería, 2014.https://rigalileo.itegam.org.br/handle/123456789/1070The article proposes the optimization of the assembly sequence of SMD components on printed circuit boards using a multi-objective genetic algorithm (NSGA-II). The study was conducted in an electronics industry at the Manaus Industrial Hub, showing that the proposed algorithm outperformed the traditional machine inserter optimizer, reducing assembly time by 6 seconds per board and increasing productivity by 30%. The results highlight the effectiveness of NSGA-II in solving complex industrial optimization problems.pdf.OptimizaciónMontaje SMDAlgoritmo Genético MultiobjetivoNSGA-IIProductividadArtigoEngenharia Elétrica