Multi-Agent Technique and Semantic Web Services for Extended Enterprise Integration

Nowadays the industrial world must face strong mutations such as the globalisation or customers' rapidly changing needs. Information and logistics are two main problems in supply chain management. Management information systems and simulations tools have been commonly used to control information on logistics in recent years. Some focus on applying artificial intelligence to solving the problem. In this paper, we have proposed a framework based on Multi-Agent Systems (MAS) and Semantic Web Services (SWS) for assistance in collaborative decision-making in the context of the extended enterprise.