Abstract
This research proposes a new reactive scheduling method using co-evolutionary genetic algorithms for machining and assembly processes in a manufacturing system. Reactive scheduling is a technique of improving a disturbed initial production schedule due to some changes, such as delays of manufacturing processes, occurred in a manufacturing system. Co-evolutionary genetic algorithms are extended in this research to deal with the modification of production schedules including not only machining processes but also assembly processes. A prototype of reactive scheduling system is developed in order to verify the effectiveness of the proposed method through some computational experiments.