Study uncertain information job shop scheduling problem based on rough sets
He Yuan-rong, Lu Lin · 2009
Uncertain information job shop scheduling problem is very common in flexible manufacturing in modern manufacturing industry. The paper uses rough sets theory to establish rough programming scheduling model of such problem, which reflects the uncertain situation in workshop more truly than other scheduling models, and proposes a new rough neural network to solve these complex problems. The simulation tests prove the effectiveness of the models.