Date of this Version


Document Type

Conference Paper

Publication Details

Published Version.

Finnie, G. & Barker, J. (2005). Real-time business intelligence in multi-agent adaptive supply networks. Paper presented at the IEEE international conference on e-Technology, e-Commerce and e-Service (EEE 2005), Hong Kong.

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2005 HERDC submission.

© Copyright IEEE Computer Society, 2005.


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.