*Assistant Professor, Department of Computer Science & Engineering, E-max Institute of Engineering & Technology, Ambala, India
**Assistant Professor, Department of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University, Gurgaon, India
***Professor & Director, Department of Electronic Communication & Engineering, E-max Institute of Engineering & Technology, Ambala, India
Topics in supply chain management have been widely researched and the issue of demand forecasting is getting supplementary concentration in the age when the customer satisfaction is the major concern for the supply chain manager. The accurate demand forecasting is the basis of the efficient production scheduling and inventory control strategies. It plays very important role in smooth running of the supply chain activities. In this paper, the concept of the multi-agent system is being applied in the architecture of the demand forecasting tool. Such tool is capable of handling the complexities and limitations of traditional demand forecasting system used in the real time supply chain management system.
Supply chain management system, demand forecasting, intelligent agent, multi-agent system, Jade
