INVESTIGADORES
ROSSIT Daniel Alejandro
artículos
Título:
A Multi Objective Evolutionary Algorithm based on Decomposition for a Flow Shop Scheduling Problem in the Context of Industry 4.0
Autor/es:
ROSSIT, DIEGO GABRIEL; NESMACHNOW, SERGIO; ROSSIT, DANIEL ALEJANDRO
Revista:
International Journal of Mathematical, Engineering and Management Sciences
Editorial:
International Journal of Mathematical, Engineering and Management Sciences
Referencias:
Año: 2022 vol. 7 p. 433 - 454
ISSN:
2455-7749
Resumen:
Under the novel paradigm of Industry 4.0, missing operations have arisen as a result of the increasingly customization of the industrial products in which customers have an extended control over the characteristics of the final products. As a result, this has completely modified the scheduling and planning management of jobs in modern factories. As a contribution in this area, this article presents a multi objective evolutionary approach based on decomposition for efficiently addressing the multi objective flow shop problem with missing operations, a relevant problem in modern industry. Tests performed over a representative set of instances show the competitiveness of the proposed approach when compared with other baseline metaheuristics.
