Key Technology Research on the Application of RFID for Discrete Manufacturing Enterprise

Abstract:

Nowadays discrete manufacturing enterprises suffer from a bottleneck of capturing and collection of shop-floor production data. Bar code system usually leads to a fact that the production data are inaccurate. In such a situation, radio frequency identification (RFID) technology is introduced into discrete manufacturing enterprises for tracking the real-time production process. In this research, a RFID-based enterprise system architecture is presented. Under this architecture, according to the key issue in RFID application, a data processing model is proposed to manage the RFID raw data and transform them into enterprise level information. Moreover, a multi-rules based data filter is constructed to support the data processing model. And the experimental results show that the filter can effectively process and filter the huge amount of RFID data by using of multi-filtering rules.

• Periodical: Applied Mechanics and Materials (Volume 437)
• Pages: 834-839
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.437.834
• Online since: October 2013
• Authors: Jing Xian Zhang*, Xiang Li, Kai Lei Wang, Jian Jun Li
• Keywords: Data Filter, Data Processing Model, Discrete Manufacturing Enterprises, Radio Frequency Identification (RFID)

References

[1] S. Hu, B. Li, S.R. Yang, J.J. Li. Event-driven SOA based integration platform for mold making industry, J. Computer Aided Drafting, Design and Manufacturing, 2009, 19 (1): 39-46.

[2] R. Chen, K. Lu, S. Yu, H . Tzeng, C. Chen. A case study in the design of BTO/CTO shop floor control system. Inf Manage, 2003, 41: 25–37.

DOI: 10.1016/s0378-7206(03)00003-x

[3] P. Pupunwiwat, B. Stantic. Location Filtering and Duplication Elimination for RFID Data Streams. International Journal of Principles and Applications of Information Science and Technology, 2007, 1(1): 29-43.

[4] R.Y. Zhong, Q.Y. Dai, T. Qu, G.J. Hu, G. Huang. RFID-enabled real-time manufacturing execution system for mass-customization production, J. Robotics and Computer-Integrated Manufacturing 2013, 29: 283-292.

DOI: 10.1016/j.rcim.2012.08.001

[5] Y. J Bai, F.S. Wang, P.Y. Liu. Efficiently Filtering RFID Data Streams. In Clean DB, (2006).

[6] K.F. Hu, Y.W. Ding, L. Chen. An efficient algorithm of constructing data cube in RFID system, J. Journal of Computational Information Systems, 2010, 12(6): 4143-4150.

[7] Z.T. Xu, X.G. Ming, J.L. Zhou, W.Y. Song, L. He, M. Li. Management optimisation based on dynamic SKU for RFID-enabled warehouse management in the steel supply chain, J. International Journal of Production Research, 2013, 51(10): 2981-2996.

DOI: 10.1080/00207543.2012.751513

[8] J. Fang, G. Huang, Z. Li. Event-driven multi-agent ubiquitous manufacturing execution platform for shop floor work-in-progress management, J. International Journal of Production Research, 2012, 51(4): 1168-1185.

DOI: 10.1080/00207543.2012.693644

[9] Y.F. Zhang, T. Qu, G. Huang, O. Ho. Agent-based smart gateway for RFID-enabled real-time wireless manufacturing, J. International Journal of Production Research, 2010, 49(5): 1337-1352.

DOI: 10.1080/00207543.2010.518743

[10] W. Kohn, V. Brayman, J. Littleton. Repair-control of enterprise systems using RFID sensory data, J. IIE Transactions, 2005, 37(4), 281–290.

DOI: 10.1080/07408170590516953

[11] R.S. Chen, M.A. Tu, J.S. Jwo. An RFID-based enterprise application integration framework for real-time management of dynamic manufacturing processes, J. International Journal of Advanced Manufacturing Technology, 2010, 50: 1217-1234.

DOI: 10.1007/s00170-010-2573-y