Authors:
Yi Wang
1
;
Quan Yu
2
and
Kesheng Wang
2
Affiliations:
1
University of Manchester, United Kingdom
;
2
Norwegian University of Science and Technology, Norway
Keyword(s):
RFID, Data Mining, Association Rules, E-logistics, System Integration.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Demonstrators and Applications
;
e-Business
;
Enterprise Information Systems
;
Industrial
;
Logistics
;
Platforms and Architectures
Abstract:
Radio Frequency Identification (RFID) is a useful ICT technology for E-logistics Enterprises. One of the standards used for RFID is Electronic Product Code Information Services (EPCIS). However, it is non-trivial to get effective knowledge from massive data to improve the existed production or logistic system comparing with convenient data collection. In this paper, we develop an intelligent platform which combines RFID for data acquisition, Data Mining for knowledge discovery and enterprise applications in the field of E-logistics. Especially association rule is applied to mine the associations between the distribution nodes and product quality within a product distribution logistic network on the basis of RFID datasets. The analysis result is the same as in the problem hypothesis, which concludes that it will be applicable for such kind of product distribution network analysis.