A RFID-Based Monitoring System for Abnormal Logistics Events in Internal Material Supply Chain

Abstract:

Internal material supply management for manufacturing workshops usually suffers from message delay and abnormal logistics events, which seriously holdback the reactivity capability of production system. As a rapid, real-time, accurate information collection tools, Radio Frequency identification (RFID) technology has become an important driver in the production and logistics activities. This paper presents a new idea that uses RFID technology to monitor real-timely the abnormal logistics events which occur at each work space in the internal material supply chain and proposes its construction method in details. With the experimental verification of prototype system, the proposed RFID-based monitoring system can find in time the abnormal logistics events of internal material supply chain and largely improve the circulation velocity of production logistics, and reduce the rate of mistake which frequently occurred in traditional material management based on Kanban.

• Periodical: Advanced Materials Research (Volumes 179-180)
• Pages: 949-954
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.179-180.949
• Online since: January 2011
• Authors: Xiao Hua Cao, Juan Wan
• Keywords: Abnormal Logistics Event, Internal Material Supply, Monitoring System, Radio Frequency Identification (RFID)

References

[1] Kotani, S. Optimal method for changing the number of kanbans in the e-Kanban system and its applications. International Journal of Production Research, 2007, vol. 45(24), pp.5789-5809.

DOI: 10.1080/00207540601096940

[2] Shehab, T., Moselhi, O. A multi-tier barcode based system for management of construction projects. Proceedings, Canadian Society for Civil Engineering, 2005, CT-179-1-CT-179-8.

[3] Wang, Li-Chih , Lin, Sian-Kun, Huang, Li-Ping. A RFID based agile manufacturing planning and control system. Lecture Notes in Computer Science, vol. 5589 LNAI, pp.441-451, (2009).

DOI: 10.1007/978-3-642-02962-2_56

[4] Visich, John K., Powers, John T., Roethlein, Christopher J. Empirical applications of RFID in the manufacturing environment. International Journal of Radio Frequency Identification Technology and Applications, vol. 2(3-4) , pp.115-132, (2009).

DOI: 10.1504/ijrfita.2009.025148

[5] Junichi,Y., Eiji. A., &Tatsuo.A. Parts and packets unification radio frequency identification application for construction. Automation in Construction, vol. 14 (2005), pp.477-490.

DOI: 10.1016/j.autcon.2004.09.005

[6] Kwangyeol,R., Youngjun,S., &Mooyoung,J. Modeling and specification of dynamic agents in fractal manufacturing systems. Computers in Industry, Vol. 52 (2003), pp.161-182.

[7] Lim M.K., & Zhang D.Z. An integrated agent-based approach for responsive control of manufacturing resources. Computers & Industrial Engineering. Vol. 46 (2004), pp.221-232.

DOI: 10.1016/j.cie.2003.12.006

[9] McFarlane, D., Sarma,S., Chim, J.L., Wong C.Y. &Ashton,K. Auto ID systems and intelligent manufacturing control. Engineering Applications of Artifical Intelligence. Vol. 16(4), pp.365-376.

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

[10] Rangarajan, T.S., Vijaykumar,A., & Suraj, S. Stop getting strangled by your supply chain , Forrester research. 2004, pp.25-36.