Some Reflections on the Relationship between AI and Fuzzy Logic (FL) - A Heretical View
IJCAI '97 Selected and Invited Papers from the Workshop on Fuzzy Logic in Artificial Intelligence
Self-Organizing Manufacturing Control: An Industrial Application of Agent Technology
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Information systems in manufacturing networks
International Journal of Electronic Commerce
I-SEE: an intelligent search agent for electronic commerce
International Journal of Electronic Commerce
Agent-mediated electronic commerce: an MIT media laboratory perspective
International Journal of Electronic Commerce - Special issue: Intelligent agents for electronic commerce
International Journal of Electronic Commerce
Autonomous Order Monitoring by Software Agents
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
A formal modeling approach for supply chain event management
Decision Support Systems
An architecture for agent-based mobile Supply Chain Event Management
International Journal of Mobile Communications
DESRIST'10 Proceedings of the 5th international conference on Global Perspectives on Design Science Research
The new supply chain's frontier: Information management
International Journal of Information Management: The Journal for Information Professionals
Efficient communication architecture for the C2C agent
Computer Standards & Interfaces
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Supply-chain event management (SCEM) provides timely event-related information that can be used to identify and correct disruptions and malfunctions in operational supply-chain processes. A proactive SCEM system that adheres to requirements derived from the deficits of current SCEM solutions can substantially reduce supply-chain troubleshooting costs. Several mechanisms for proactive SCEM are proposed, encompassing concepts to gather data on suborders in interorganizational settings, focus on proactive monitoring activities with classified critical order profiles, and analyze, interpret, and distribute information employing fuzzy logic. Agent technology is shown to be suitable for implementing proactive SCEM systems, and an agent-based concept is presented. The proactive SCEM concept is evaluated by means of a prototype implementation for a logistics service provider. The results show that the costs of information and monitoring processes can be reduced substantially.