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1. Un enfoque de optimización y simulación utilizando algoritmo genético para el problema de secuenciamiento dinámico con demanda estocástica.

Author

de Fátima de Souza da Silva, Marilda, Menezes Pereira, Fernanda Morán, Chambal Rodriguez, Patrícia, and Henrique Pereira, Fabio

Subjects
*JOB shops, *GENETIC algorithms, *FLOW shop scheduling, *PRODUCTION scheduling, *SIMULATION methods & models
Abstract

The Job Shop scheduling problem has been extensively studied in the last decades due to its importance and computational complexity. However, a large part of the papers address the static and deterministic version of the problem. This work presents an integration of a simulation model with an optimization method in order to solve the dynamic job shop scheduling problem. The proposed model integration is accomplished using out-of-process components, through the ActiveX Automation technology and the Visual Basic for Application, in which a simple Genetic Algorithm runs as a free-standing application. Results of the proposed method were compared with some common dispatching rules and showed that the proposed approach the scheduling problem efficiently. Moreover, the solutions generated by GA are less sensitive to variations in demand, which is quite significant in such environments. [ABSTRACT FROM AUTHOR]

Published
2019