Study On Manufacturing Execution System In SMT Workshop Based On Smart Objects

With increasing market competition and the rapid development of networking and cloud computing and other information technology, manufacturing industry has ushered in the new round of technological revolution. This gives a higher request to the survival of the manufacturing companies:improving quality and efficiency with lower costs and less resource consumption. Therefore, the transparency, intelligence and global optimization of the whole production process have become the development direction of manufacturing enterprises. It has brought new opportunities to the development of manufacturing execution system (MES).As we all know, electronics surface mount (SMT) industry is one of the core manufacturing industry in the 21st century, but it has failed to achieve the popularity of MES. So it brings a good opportunity to the electronic manufacturing industry. MES is in the executive layer between the plan layer and the shop floor operation control system, which set up a bridge between the management layer and the underlying control layer. To finely control manufacturing process at real-time, this paper presents a manufacturing execution systembased on smart objects in SMT workshop. It analysis the data collection mode of the SMT shop floor and it describes the application of smart objects in SMT workshop. The paper focuses on the follow aspects:1. Construct electronics manufacturers SO-MES framework based on intelligent objects. By analyzing the electronic manufacturing production processes and problems of traditional MES systems, it designs the MES functional architecture for SMT workshop. Then it builds the system architecture of MES based on smart objects.2. It analyses data acquisition in the SMT workshop. By analyzingthe traditional data collection status quo of electronic product manufacturing process, it proposes the IFID-based smart objects. On this basis, it discusses SMT manufacturing process control method, using mathematical symbols and formal definition to monitor the status of the production process. Finally, it describes three main applications of smart objects in SMT manufacturing process:quantity computation of WIP, The discovery of SMT station bottleneck process and the mistake-proofing algorithms.3. It analysis the data mining in SMT workshop production based on smart objects. Using data mining models to analyze the soldering data exported from MES, and to predict weld quality based on the input variablesand identify the key factors that lead to instability weld quality, and then make improvements. Conclusions show that the main impact factors ofwelding includes mounting score, recirculation zone temperature and the blade speed. The cooling zone temperature and the transmission speed will affect the welding quality as well.Finally, an example of an electronic enterprise in Guangzhou illustrates the feasibility and effectiveness of the system proposed. It demonstrates the visual management of workshop, production information real-time query, the bidirectional traceability of material and some other implementation effect. The example verified the feasibility of real-time MES based on smart objects. This system plays a certain role in promoting the production of SMT manufacturing.