Client/server architecture (2nd ed.)
Client/server architecture (2nd ed.)
An agent-based approach for building complex software systems
Communications of the ACM
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Web Services and Service-Oriented Architecture: The Savvy Manager's Guide
Web Services and Service-Oriented Architecture: The Savvy Manager's Guide
The Knowledge Engineering Review
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
Industrial deployment of multi-agent technologies: review and selected case studies
Autonomous Agents and Multi-Agent Systems
Technology diffusion: analysing the diffusion of agent technologies
Autonomous Agents and Multi-Agent Systems
Fuzzy agent-based expert system for steel making process
Expert Systems with Applications: An International Journal
An Evaluation Framework for MAS Modeling Languages Based on Metamodel Metrics
Agent-Oriented Software Engineering IX
Recent developments and future trends of industrial Agents
HoloMAS'11 Proceedings of the 5th international conference on Industrial applications of holonic and multi-agent systems for manufacturing
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The steel production of the German company Saarstahl AG, a global respected steel manufacturer, represents a Supply Chain which comprehends several time-critical and highly interference susceptible processes. Therefore, flexibility, robustness and fast reorganisation are indispensable requirements on a system responsible for the planning of production inside this Supply Chain to ensure acceptable costs and retain their respected position on this market. In this paper we present an agent-based generic solution for the planning and observation of the complete production process inside the steelwork Völklingen of Saarstahl AG. The presented system calculates solutions for given daily target schedules - based on the concrete orders by the customers - by a combined distributed online planning and scheduling algorithm, and, additionally, performs the observation of its realisation. Moreover, the presented real-time multiagent system supports the reorganisation after operational faults in this high dynamic context by suggesting new solutions to the responsible conductor.