Multi-objective Scheduling of Flow-Shop Problems in Finishing Factory Using Genetic Algorithms

Bessem Kordoghli

Abstract


The most important trend in chemical finishing is characterized by the key term ‘better cost-efficiency relation’. In this work, we have tried to attain inferior cost by optimization of the scheduling of resources using genetic algorithms. This work is divided in two steps. In the first one, we studied the times of production process in order to show the difference between the predicted time and the real time of finishing process. In second one, we have setting up a program for scheduling jobs using multi-objective genetic algorithm.

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