Algorithm for optimal winner determination in combinatorial auctions
Artificial Intelligence
Modeling complex multi-issue negotiations using utility graphs
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
An adaptive solution to dynamic transport optimization
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
MAGENTA technology: multi-agent systems for industrial logistics
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multi-attribute bilateral bargaining in a one-to-many setting
AAMAS'04 Proceedings of the 6th AAMAS international conference on Agent-Mediated Electronic Commerce: theories for and Engineering of Distributed Mechanisms and Systems
An interactive platform for auction-based allocation of loads in transportation logistics
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
Mining Trading Partners' Preferences for Efficient Multi-Issue Bargaining in E-Business
Journal of Management Information Systems
A Multi-agent Scheduler for Rent-a-Car Companies
HoloMAS '09 Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
A multi-agent platform for auction-based allocation of loads in transportation logistics
Expert Systems with Applications: An International Journal
Optimizing dynamic supply chain formation in supply mesh using CSET model
Information Systems Frontiers
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This paper presents a case study for the application of agent-mediated negotiation techniques in transportation logistics. More specifically, we consider the interaction between several logistics service providers negotiating over the allocation of transportation orders. In this context, we show that automated negotiation techniques (especially multi-issue or multi-item negotiation) can bring significant advantages, by allowing parties to discover jointly profitable bundles (allocations) of orders. The model, evaluations and results reported in this paper concern the business processes of Vos Logistics, one of the largest European transportation logistic providers.