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Study on Scheme and Application of RFID Based MES in Discrete Manufacturing Industry

Author: YinGuoChao
Tutor: SunZuoHua
School: Chongqing University
Course: Control Theory and Control Engineering
Keywords: RFID MES ERP Discrete Manufacturing Object identity
CLC: TP391.44
Type: Master's thesis
Year: 2008
Downloads: 634
Quote: 13
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Abstract


In discrete manufacturing, enterprise resource planning (ERP) as the representative of management information systems in production and business activities play a very important role. However, due to its production process monitoring and management capacity is insufficient, not yet fully meet the needs of sophisticated production management, so the manufacturing execution system (MES) came into being. MES is used to compensate for enterprise planning and shop floor control system layer between the faults, to achieve data transmission between them and sharing, enhance the workshop production management and control capabilities. With the rapid changes in the market and the development of modern manufacturing, discrete manufacturing in many varieties of small batch production, changing production processes, rapid response to market and produce a high level of quality management and other needs have become increasingly prominent, the traditional means of data collection has become increasingly can not meet the MES in quality management, job shop scheduling and process control requirements. In recent years, radio frequency identification (RFID) technology is developing rapidly, and its automatic object identification, data storage and other aspects of the outstanding performance of the production process for the realization of logistics and information flow synchronization, discrete manufacturing MES meet at the production site data collection requirements, provide a strong technical support. Therefore, the study RFID-based manufacturing execution system for discrete manufacturing industry MES technology to promote the deepening and development has an important practical significance. This paper mainly for discrete manufacturing industry characteristics and problems, study the discrete manufacturing industry MES based on RFID solutions and applications. In-depth analysis of MES, RFID and its application in the discrete manufacturing industry on the basis of the status quo, we propose a RFID-based discrete manufacturing MES application programs that focus on research and implementation of RFID-based MES some functions, RFID-based data acquisition and processing and MES and ERP integration three aspects. In-depth analysis of existing models and integration of MES functionality standards, based on research MES and RFID technology combined model, gives the functional architecture of MES based on RFID, studied and designed RFID-based quality management, RFID-based job shop RFID-based process scheduling and control of the three functional blocks. RFID-based data acquisition and processing, data acquisition means and for existing problems in RFID applications is proposed based on data stored in an RFID data collection system construction method, the RFID technology and bar code technology, and through RFID tags recycled mode reduces application costs. In-depth analysis and discussion of the existing RFID middleware research and application status, message-based mechanisms proposed for RFID middleware system construction method, and the message mechanism was realized. For ERP and MES in data integration needs, heterogeneous data sources in the analysis of existing data integration model based on the design of XML-based data integration model, and implements XML documents and relational databases as well as conversion between C-based / S data communication. Finally, this paper describes a program in Chongqing, the implementation of the engine manufacturer, and with the use of bar code technology, production management methods were effect of contrast.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Optical pattern recognition devices
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