Applying Multi-agent simulation in tracking the Bullwhip effect of supply chain system

We have applied a fast, easily extensible, discrete-event multi-agent simulation toolkit in Java. This approach is being applied to serve as the basis for a wide range of multi-agent simulation tasks in the supply chain environments. MASON carefully delineates between model and visualization, allowing models to be dynamically detached from or attached to visualizers, and to change platforms mid-run. We describe the multi-agent simulation system, its motivation, and its basic architectural design. We then compare the impact of the simulation approach to related multi-agent libraries in the public domain, and discuss applications of the system in bullwhip effect reduction in supply chain system. In this paper, we propose a framework for business process simulation based on multi-agent cooperation. Social rationality of agent is introduced into the proposed framework. Adopting rationality as decision making strategies, flexible scheduling of activities is achieved.