Real-Time Business Intelligence in Multi-Agent Adaptive Supply Networks

  • Authors:
  • Gavin Finnie;Jeff Barker

  • Affiliations:
  • Bond University, Gold Coast, Australia;Bond University, Gold Coast, Australia

  • Venue:
  • EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
  • Year:
  • 2005

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Abstract

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.