Introduction to Multiagent Systems
Introduction to Multiagent Systems
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
The Enterprise Resource Planning Decade: Lessons Learned and Issues for the Future
The Enterprise Resource Planning Decade: Lessons Learned and Issues for the Future
Information Coordination Using Meta-agents in Information Logistics Processes
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Abstract architecture for meta-reasoning in multi-agent systems
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Calculating optimal decision using meta-level agents for multi-agents in networks
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
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Coordinate and deliver information is vital for the financial and operational success of a company. The information is used for understanding and evaluating performance of a manufacturing company and making decisions based on incoming information. Information about orders but also parts to be purchased, assembled for the final product to be delivered, can streamline the production line to provide good quality products in the right time and to right costs at highest profit. For profit, costs are cut by reducing storage and searching for lowest price from established suppliers and providers on web as well as handling production planning automatically. To increase profit, we apply a multi-agent technique to production planning, which can automate business decision-making for the production line. The agents handle incoming orders, the production line, and search for information about the products at the intranet and the extranet. The outcome is decisions about the production line. The multi-agent solution becomes a complement to the production planning brought about by the company's enterprise resource planning system.