Improvement of crossover operator in genetic algorithm for reactive scheduling

Unscheduled disruptions often occur in the actual manufacturing systems. A systematic scheduling method is therefore required to modify and improve the initial production schedule in order to cope with the unexpected disturbances. The previous researches proposed the Genetic Algorithm based reactive scheduling method that improves the initial production schedule without interrupting the manufacturing processes. This research proposes a new crossover method based on the dominance of gene in order to modify the production schedule faster than the previous method.