Complexity analysis and modeling for supply and demand network

A global economy and increase in customer expectations in terms of time and cost have caused the limitations of traditional supply chain management to be more and more obvious. In this paper, we apply Agent UML to modeling the supply and demand network (SDN) that is a network evolved from supply chain in the environment of E-commerce. Firstly, we analyze in depth the features of SDN as a complex adaptive system (CAS). The MAS structure of SDN system is then established. Next we make use of Agent UML to set up the static relation model and dynamic behavior model for the roles. Finally, a dynamic interaction protocol model is established and analyzed. This paper provides a visible framework of SDN that enables further actualization in a multiagent computational environment.