Article Abstract

	Title:	CDMA-based predictive model of the read performance of EPC RFID tags in supply chain environments
	Author:	Mario E. Magana, J. David Porter, David S. Kim
	Address:	School of Electrical Engineering and Computer Science, Oregon State University, 1148 Kelley Engineering Center, Corvallis, OR 97331-5501, USA. ' School of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, 204 Rogers Hall, Corvallis, OR 97331-6001, USA. ' School of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, 204 Rogers Hall, Corvallis, OR 97331-6001, USA
	Journal:	International Journal of Radio Frequency Identification Technology and Applications 2007 - Vol. 1, No.4  pp. 363 - 370
	Abstract:	Radio Frequency Identification (RFID) technology is quickly becoming the item-tracking solution of choice in supply chain applications. However, most RFID deployments are currently performed on a trial-and-error basis. This research aims to develop a predictive model of the read performance of Electronic Product Code (EPC) RFID tags in supply chain environments borrowing ideas from well established cellular communication systems that are based on Code Division Multiple Access (CDMA) technology. This predictive model will be used to determine the optimal number of tags that can be consistently read in a specific warehouse facility prior to the deployment of an RFID system solution.
	Keywords:	code division multiple access; CDMA; electronic product code; EPC; orthogonal codes; radio frequency identification; RFID tags; supply chain management; SCM; predictive modelling; read performance.
	DOI:	10.1504/IJRFITA.2007.017747
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