Data mining for the optimization of production scheduling in flexible Manufacturing System

Provided with plenty of data (experience), data mining techniques are widely used to extract suitable management skills from the data. Nevertheless, in the early stages of a manufacturing system, only rare data can be obtained, and built scheduling knowledge is usually fragile. In most research process of production scheduling based on simulation conditions, the waiting time of every essential step is often omitted. But the time is very important to actual flexible manufacturing system, so we propose a novel approach combing data mining technique, and the multi-agent simulation platform to find the optimization of production scheduling. After experiments, the results of production scheduling problem can be significantly improved using the proposed method.