Title: A rules based RFID-enabled supply chain process monitoring system

Authors: Chiao-Tzu Huang; Shu-Jen Wang; Jen-Chieh Liao; Wei-Ling Wang

Addresses: Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Chung Shan Road, Taiping District, Taichung, Taiwan. ' Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Chung Shan Road, Taiping District, Taichung, Taiwan. ' Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Chung Shan Road, Taiping District, Taichung, Taiwan. ' Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Chung Shan Road, Taiping District, Taichung, Taiwan

Abstract: A supply chain management system is designated to monitor the performance and make sure that the material flow from material suppliers to customers is delivered in right time, right place and right quantity. To accelerate the information flow and accomplish real-time updated information is the major concern of the bottom-up approach. With assistance of Radio Frequency Identification (RFID), a quick response monitoring system is proposed. Even so, the visibility of the supply chain information is only supportive in development stage and not further tested explicitly in practice. Therefore, an RFID-enabled simulation will be explored and show our proposed approach in boosting the visibility of information and reducing the uncertainty existed in supply chain management. Finally, a rule-based supply chain process performance monitoring mechanism will be presented in this research; it will monitor the real-time physical flows between nodes continuously, and provide performance indicators of all levels of process.

Keywords: RFID; radio frequency identification; control charts; supply chain management; SCM; supply chain monitoring; process monitoring; material flow; quick response; simulation.

DOI: 10.1504/IJRFITA.2012.044647

International Journal of Radio Frequency Identification Technology and Applications, 2012 Vol.4 No.1, pp.13 - 27

Received: 03 Nov 2010
Accepted: 30 Jun 2011
Published online: 20 Dec 2014 *