Real-time business intelligence in multi-agent adaptive supply networks

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.