2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) Real-Time Business Intelligence in Multi-Agent Adaptive Supply Networks Hong Kong, China March 29-April 01 ISBN: 0-7695-2274-2
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EEE.2005.111
The increasing speed and complexity of inter-organisational communication in supply networks requires effective automation. Multi-agent systems have been proposed as a possible solution. However, the information needs of the agent, particularly in responding to any variation from the norm, are similar to a human in the same position.This paper reviews the concepts of Business Intelligence (BI) and Real-Time Enterprises (RTE) and looks at the need for BI in dynamic information management. A multi-agent framework is described and case-based reasoning investigated as a reasoning paradigm capable of responding to the need for business intelligence. A CBR approach is proposed with Key Performance Indicators defining the case problem and BI operations the case solution.
Citation:
Gavin Finnie, Jeff Barker, "Real-Time Business Intelligence in Multi-Agent Adaptive Supply Networks," eee, pp.218-221, 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb