Abstract:

Due to the complexity of the hot rolled section steel production process, some problems such as delivery delay and overload inventory appear easily, which are induced by improper planning and scheduling. Aiming at these problems, the MES production planning and scheduling system is studied and designed. A mathematical model is formulated based on the improved batch decisionmaking and scheduling strategy. And the production scheduling plan is solved with selfadaptive genetic algorithm. Based on these theories, a production planning and scheduling system for a hotrolled enterprise is designed and implemented. Through the real hot rolled steel’s orders data, raw materials data, equipment data and so on, the planning methods of using new batch decisionmaking and scheduling strategy model and old ones are simulated and compared. It is improved that the solution of batch decision-making and scheduling model is able to save production time, reduce the times of equipment scheduling. Using this plan to direct production activities can reduce the times of delay in delivery, reduce inventory occupancy rate and improve enterprise profit margin.

Key words: production planning and scheduling;hot rolling section steel;batch decision-making and batch scheduling;genetic algorithm