CDMA-based predictive model of the read performance of EPC RFID tags in supply chain environments. (2nd April 2008)
- Record Type:
- Journal Article
- Title:
- CDMA-based predictive model of the read performance of EPC RFID tags in supply chain environments. (2nd April 2008)
- Main Title:
- CDMA-based predictive model of the read performance of EPC RFID tags in supply chain environments
- Authors:
- Magana, Mario E.
Porter, J. David
Kim, David S. - 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.
- Is Part Of:
- International journal of radio frequency identification technology and applications. Volume 1:Number 4(2007)
- Journal:
- International journal of radio frequency identification technology and applications
- Issue:
- Volume 1:Number 4(2007)
- Issue Display:
- Volume 1, Issue 4 (2007)
- Year:
- 2007
- Volume:
- 1
- Issue:
- 4
- Issue Sort Value:
- 2007-0001-0004-0000
- Page Start:
- 363
- Page End:
- 370
- Publication Date:
- 2008-04-02
- Subjects:
- code division multiple access -- CDMA -- electronic product code -- EPC -- orthogonal codes -- radio frequency identification -- RFID tags -- supply chain management -- SCM -- predictive modelling -- read performance
Radio frequency identification systems -- Periodicals
621.38419 - Journal URLs:
- http://www.inderscience.com/ ↗
http://www.inderscience.com/jhome.php?jcode=ijrfita ↗
http://www.inderscience.com/browse/index.php?action=articles&journalID=165 ↗ - Languages:
- English
- ISSNs:
- 1745-3216
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8927.xml