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