Multi Agent System for Continuously Improving Enterprise Performance

This paper examines the potential value of MAS technology to continuously improve enterprise capability to gain the highest performance level. In terms of contribution, it describes concepts and methodologies within the field of Multi-Agent Systems (MAS) that are appropriate to work with required performance levels. As well as presenting a comprehensive review of the meaningful framework for which MAS be investigated, it also defines the technical issues, which should be addressed in order to examine the current performance of the enterprise process, and test the level of quality suggest clear strategy to gain the optimization level using multi agent technology. We also uses the banking systems as a case study to prove the merits of the proposed MAS architecture and implementation methodology. Different categories of agents, their internal structures and functions are described. Programming solutions to MAS problems are modeled using the computation structure models since it includes data interactions among agents and the algorithm to implement the solution plan. Every solution plan should have a feedback to continuously monitoring and enhancing the target enterprise performance. Banking system is used to show the merits of using MAS to gain the required levels of performance.. Key-Words: Multi agent system, computation structure model, Quality assessment, Process improvement.