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 improvement of the reactive scheduling method for tardiness minimization problems. A new crossover method is proposed to generate more suitable individuals in the reactive scheduling process than the previous crossover method. A prototype of reactive scheduling system was developed to evaluate the effectiveness of the proposed method.
