A cognitive engineering approach with AI techniques to reactive scheduling in the supervision of dynamic manufacturing processes

Recent advances in artificial intelligence (AI) techniques have greatly increased the potential for applying them to engineering intelligent real-time control and scheduling systems as joint man-machine cognitive systems. Rapid reactivity is becoming an increasingly important competitive factor for today´s manufacturing companies in planning and controlling their shop floor processes. The construction and revision of shop floor schedules in such a way to keep them in line with rapidly changing events can significantly improve the manufacturing systems´ performance in dynamic environments with many uncertainties in processes. Reactive scheduling as one major function of an intelligent supervisory control system for dynamic manufacturing processes is presented in the paper from functional-decisional, AI-based cognitive engineering and related performance aspects