Dynamic scheduling based self-learning mechanism in JSP
一种具有自学习能力的动态调度决策机制*

The resource distributions in JSP are based on the experience of experts, the scheduling rules are obtained by the rough and fuzzy sets. These rules have a higher reliability in a short time. But with the rapidly changing manufacturing environment, obsolescence of knowledge is an inevitable problem. This paper presented a dynamic scheduling mechanism with self-learning ability. The knowledge was updated by a two-way learning algorithm, so that the system could sense the changes in environment automatically and update the knowledge. Finally, the decision-making and knowledge update algorithm were described and analyzed by simulation.