Designing an intelligent negotiation model in E-supply Network Coordination

E-supply network coordination (e-SNC) is a new structure obtained by information technology, automation of different echelons´ behavior, and the market globalization. The information flow and cooperation among echelons are two key drivers in SN. Here, supply network is considered as a collection of agent-mediated decision and coordination mechanisms in a Web-based environment. The proposed coordination model begins with fuzzy clustering of attributes in initial categories for buyers´ profile to find the representative indicators from these clusters so called criteria. Then a feasibility analyzer is designed to study the possibility of interaction between agents. In response to autonomy levels and conflict objectives, the coordination model allows agents to negotiate through an iterative process of generating offers by fuzzy inference systems to re-establish global optimality. To illustrate the feasibility of the proposed approach, we implement a prototype system and evaluate its performance using a simulation model. The results confirm the model efficiency in providing a more realistic and optimized network.