Research On Scheduling System Optimization Based On MES Framework For Tire Modeling And Vulcanization

The manufacture of tire & rubber products is a traditional labor-intensive industry. Thus, the utilizing and application of information technology would be very important to improve the quality and efficiency of tire productions.As a connection between ERP and PCS, manufacturing execution system (MES) plays a key role in solving the information gap and achieving enterprise informatization constructions. MES is very important and significant in improving the informatization construction in our country. The subsystem, the planning optimization system, which serves as the key part of MES, is used to schedule and manage the production plan and responsible for the statistics of the production and storage information. This subsystem can handle the production resource and market information, and make a best decision of optimized scheduling. However, how to estimate such a planning optimization system to improve the production efficiency and economic benefit, is still a difficult topic in the current tire industry. Also, that's why we research and propose my methods in this work.In this work, based on the requirement and the basic design framework of manufacturing execution systems, a functional and logical structural model was designed to meet the needs of the current situation of the whole tire production and a large manufactory in China. Our design included some key work in information collection, database, scheduling and statistical reporting etc.Secondly, according to the production requirement of the mentioned manufactory, a model for the tire modeling and vulcanization processes was analyzed and established. In the proposed model, the group strategy based on order was discussed in detail. a production scheduling system was designed to optimize the production plan. What's more, to address the disadvantages such as the poor efficiency and inaccuracy in tire modeling and vulcanization process due to the traditional working schedule based on individual's experience, a multi-object optimized model with genetic algorithm was built. Through the experiments of simulation, the efficiency, accuracy and the dependence on individual are all improved.Finally, a planning optimization system for tire modeling and vulcanization process is set up based on Delphi 2007 and SQL Server 2005, which is also adopted in the real industry. It is shown that our system can improve the production scheduling effect, the quality and quantity of the tire production, and deduce the time gap between tire modeling and vulcanization processes, compared to the former strategy based on personal experience.As shown in practice, the designed optimization system can meet the actual requirement of the tire manufacturing, and bridge the gap between the plan and execution. In conclusion, this work plays a significant role to improve the enterprise informatization for the tire and rubber products.