(INSTITUTO DE TECNOLOGIA, 2014) CIRINO, Weverson dos Santos; MUSTAFE, Nadime; REIS, Ana; CASTRO, Anderson; BEZERRA, Ubiratan Holanda; Professora Dra. Fernanda Souza do Nascimento
The 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.
