Negotiating task decomposition and allocation using partial global planning
Distributed artificial intelligence: vol. 2
Applications of distributed artificial intelligence in industry
Foundations of distributed artificial intelligence
Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
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PRO-VE '99 Proceedings of the IFIP TC5 WG5.3 / PRODNET Working Conference on Infrastructures for Virtual Enterprises: Networking Industrial Enterprises
Responsibility Tokens in Supply Chain Management
Manufacturing & Service Operations Management
Designing And Managing The Supply Chain
Designing And Managing The Supply Chain
Multi-Agent Simulation of Collaborative Strategies in a Supply Chain
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
A Multiagent Approach for Logistics Performance Prediction Using Historical and Context Information
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Multi-site coordination using a multi-agent system
Computers in Industry
Robust coordination to sustain throughput of an unstable agent network
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Coordination to avoid starvation of bottleneck agents in a large network system
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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Expert Systems with Applications: An International Journal
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In this paper, we focus on the supply chain as a multi-agent system and we propose a new coordination technique to reduce the fluctuations of orders placed by each company to its suppliers in such a supply chain. This problem of amplification of the demand variability is called the bullwhip effect. To reduce such a bullwhip effect, we propose a technique based on tokens to achieve a decentralized coordination. Precisely, classical orders manage the demand itself whereas tokens manage effects on company inventory due to variations of this demand. Finally, the proposed approach is validated by the Wood Supply Game, which is a supply chain model used to make players aware of the bullwhip effect. We experimentally verify that our coordination technique leads to less variable orders (i.e. the standard deviation of orders is reduced) while inventory levels are not excessively high but sufficient to avoid backorders.