Abstract
Unscheduled disruptions often occur in the actual manufacturing systems, and an initial production schedule may not satisfy the constraints due to the disruptions. A reactive scheduling method based on Genetic Algorithm (GA) was, therefore, proposed to improve the disturbed production schedule in the previous research. This research deals with a new crossover method to improve the performance of the GA based reactive scheduling process for the tardiness minimization problems and the total flow time minimization problems. The multi–objective reactive scheduling method is also proposed based on the improved reactive scheduling method in this research. The combination of the dominance of genes is discussed for the multi–objective reactive scheduling problems of the tardiness minimization and the total flow time minimization. A prototype of reactive scheduling system is developed to evaluate the effectiveness of the proposed method.
