Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/MIC.2009.10 | IEEE Internet Computing |
Keywords | Field | DocType |
supply-chain visibility,core concept,rule-based analysis technique,rfid technology,huge number,automated analysis technique,rfid data,supply-chain structure,rule-based rfid data analysis,human effort,supply chain visualizer,transportation,hot spot,user interfaces,radio frequency identification,data mining,knowledge based systems,data visualization,rule based,data analysis,business,supply chain,visualization,supply chains,topology | Data visualization,Rule-based system,Visibility,World Wide Web,Computer science,Knowledge-based systems,Computer network,Exploit,Supply chain,User interface,Radio-frequency identification,Database | Journal |
Volume | Issue | ISSN |
13 | 1 | 1089-7801 |
Citations | PageRank | References |
20 | 0.85 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Ilic | 1 | 129 | 21.71 |
| Thomas Barnebeck Andersen | 2 | 54 | 3.01 |
| Florian Michahelles | 3 | 791 | 93.75 |