Multiagent Engineering: Theory and Applications in Enterprises (International Handbooks on Information Systems)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation
A Framework for the Development of Multi-Agent Systems in Supply Chain Management
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
A platform-independent metamodel for multiagent systems
Autonomous Agents and Multi-Agent Systems
The DSML4MAS development environment
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
An Organizational Knowledge Ontology for Automotive Supply Chains
HoloMAS '09 Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Supply Chain Management and Advanced Planning: Concepts, Models, Software, and Case Studies
Supply Chain Management and Advanced Planning: Concepts, Models, Software, and Case Studies
A survey on the implementation of agent oriented specifications
AOSE'10 Proceedings of the 10th international conference on Agent-oriented software engineering
Platform-independent modelling in MDA: supporting abstract platforms
MDAFA'03 Proceedings of the 2003 European conference on Model Driven Architecture: foundations and Applications
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Decentralized coordination is of major importance in today's production and logistics networks and subject to current supply chain management (SCM) research. This paper presents a multi-agent based framework in this research context that allows modeling and evaluating decentralized coordination mechanisms in heterarchical supply chains. The motivation, idea and architecture of the framework are presented. A concrete application of this framework is demonstrated by means of modeling and evaluating a current approach to decentralized coordination from SCM research. The focus of the paper lies on the modeling component of the framework.