DocumentCode :
1063847
Title :
Increasing Supply-Chain Visibility with Rule-Based RFID Data Analysis
Author :
Ilic, Alexander ; Andersen, Thomas ; Michahelles, Florian
Author_Institution :
ETH Zurich, Zurich
Volume :
13
Issue :
1
fYear :
2009
Firstpage :
31
Lastpage :
38
Abstract :
RFID technology tracks the flow of physical items and goods in supply chains to help users detect inefficiencies, such as shipment delays, theft, or inventory problems. An inevitable consequence, however, is that it generates huge numbers of events. To exploit these large amounts of data, the supply chain visualizer increases supply-chain visibility by analyzing RFID data, using a mix of automated analysis techniques and human effort. The tool´s core concepts include rule-based analysis techniques and a map-based representation interface. With these features, it lets users visualize the supply-chain structure, together with performance metrics, and detect problematic hot spots.
Keywords :
knowledge based systems; radiofrequency identification; supply chains; telecommunication computing; user interfaces; automated analysis techniques; inventory problems; map-based representation interface; performance metrics; rule-based RFID data analysis; shipment delays; supply-chain visibility; Data analysis; Data mining; Data visualization; Delay; Humans; Internet; Measurement; Pervasive computing; Radiofrequency identification; Supply chains; RFID Meets the Internet; RFID data; radio frequency identification; rule-based analysis; supply chain; visualization;
fLanguage :
English
Journal_Title :
Internet Computing, IEEE
Publisher :
ieee
ISSN :
1089-7801
Type :
jour
DOI :
10.1109/MIC.2009.10
Filename :
4747625
Link To Document :
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