earticle

영어

RFID (Radio Frequency Identification) has played great important role in tracing and tracking the goods in supply chain management (SCM, where control and automation are very important). The application of RFID technology is able to record the moving path of different objects when they carrying the tags and readers. Thus, large number of information and knowledge are generated when the objects moved from one location to another. Such information and knowledge could be used for decision making such as automation and control. Traditional database does not consider the relationship of different elements of the RFID attributes. This paper introduces an algorithm to discover the frequent moving path of the RFID-equipped objects using graphical mining approaches. A set of experiments are carried out to evaluate the algorithm by using real-life data from a warehouse. It is observed that with the increasing of k , more information will be shown in the graph and the moving path could be discovered according to the weight of the edge.