Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Supply-chain modeling based on multi-agent includes four step modeling of analyzing composing of supply chain entity, establishing operation flow, designing operation processing agent and unit frame. Owing to agent has basic attribute of target, knowledge and sign, universal architecture is composed of communication, operation processing, reasoning, learning and message units. The communication between Agents is realized with transferring message, all message is encapsulated based on KQML. Information sharing is foundation of Agent cooperation, So, emphasize exchange and cooperation between Agents when analyzing task, the influence of materials circulation and information flow is eliminated with message transferring mechanism.
Keywords :
inference mechanisms; learning (artificial intelligence); multi-agent systems; organisational aspects; supply chain management; KQML; agent cooperation; business processing unit; information sharing; learning module; message transferring mechanism; multiagent system; operation processing agent; organizational structure; reasoning module; supply chain management model; Business; Collaboration; Information analysis; Information systems; Logistics; Manufacturing; Multiagent systems; Raw materials; Supply chain management; Supply chains;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on