A Manufacturing Execution System for Discrete Industry

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Manufacturing Execution System (MES) is widely used in enterprise production scene. But most manufacturing execution systems are expensive and mostly for the continuous production-oriented enterprises. Thus, they are hardly applied to a large number of existing discrete manufacturing enterprises. For discrete manufacturing companies, on-site processing is complex such as the planning and scheduling. This paper proposes a concept that is the use of advanced enterprise information management and designs a CIMS technology for discrete industry. The system is capable of real-time monitoring of discrete manufacturing companies in the products of the process of production and production data collection. The completion of the automatic production scheduling is achieved, providing a variety of enterprise project management module upper and greatly optimizing various production resources of the enterprise configuration. In practical applications, it has received very good results.

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1585-1588

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhong, R. Y., Dai, Q. Y., Zhou, K., & Dai, X. B. (2008). Design and Implementation of DMES Based on RFID. Paper presented at the 2nd International Conference on Anti-counterfeiting, Security and Identification, Guiyang, 20-23 Aug. 475-477.

DOI: 10.1109/iwasid.2008.4688433

Google Scholar

[2] Zhong, R. Y., Dai, Q. Y., Qu, T., Hu, G. J., & Huang, G. Q. (2013). RFID-enabled Real-time Manufacturing Execution System for Mass-customization Production. Robotics and Computer-Integrated Manufacturing, 29(2), 283-292.

DOI: 10.1016/j.rcim.2012.08.001

Google Scholar

[3] Zhong, R. Y., Li, Z., Pang, A. L. Y., Pan, Y., Qu, T., & Huang, G. Q. (2013).

Google Scholar

[4] Wang, M. L., Qu, T., Zhong, R. Y., Dai, Q. Y., Zhang, X. W., & He, J. B. (2012).

Google Scholar

[5] Dai, Q. Y., Zhong, R. Y., Huang, G. Q., Qu, T., Zhang, T., & Luo, T. Y. (2012).

Google Scholar

[6] Zhong, R. Y., Huang, G. Q., Dai, Q. Y., Zhou, K., Qu, T., & Hu, G. J. (2011).

Google Scholar

[7] Wang, M. L., Dai, Q. Y., Zhang, X. W., Luo, X., & Zhong, R. Y. (2010).

Google Scholar

[8] Dai, Q. Y., Zhong, R. Y., Zhou, K., & Jiang, Z. Y. (2010).

Google Scholar

[9] Makris, S., Michalos, G., & Chryssolouris, G. (2011). RFID driven robotic assembly for random mix manufacturing. Robotics and Computer-Integrated Manufacturing, 28(3), 359-365.

DOI: 10.1016/j.rcim.2011.10.007

Google Scholar

[10] Ngai, E. W. T., & Riggins, F. (2008). RFID: Technology, applications, and impact on business operations. International Journal of Production Economics, 112(2), 507-509.

DOI: 10.1016/j.ijpe.2007.05.003

Google Scholar

[11] McFarlane, D., Sarma, S., Chirn, J. L., Wong, C., & Ashton, K. (2003). Auto ID systems and intelligent manufacturing control. Engineering Applications of Artificial Intelligence, 16(4), 365-376.

DOI: 10.1016/s0952-1976(03)00077-0

Google Scholar

[12] Johnson, D. (2002). RFID tags improve tracking, quality on Ford line in Mexico. Control Engineering, 49(11).

Google Scholar

[13] Dutta, A., Lee, H. L., & Whang, S. (2007). RFID and operations management: technology, value, and incentives. Production and operations management, 16(5), 646-655.

DOI: 10.1111/j.1937-5956.2007.tb00286.x

Google Scholar

[14] Zhou, S., Ling, W., & Peng, Z. (2007). An RFID-based remote monitoring system for enterprise internal production management. The International Journal of Advanced Manufacturing Technology, 33(7), 837-844.

DOI: 10.1007/s00170-006-0506-6

Google Scholar