Automating SC Negotiations using Autonomous Agents: a Case Study in Transportation Logistics.

LM 06

Sander van der Putten1,2,3                 Valentin Robu1            Han La Poutré1,3

Annemiek Jorritsma2    Margo Gal2

1CWI, National Center for Mathematics and Computer Science

Kruislaan 403, NL-1098 SJ Amsterdam, The Netherlands

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2Vos Logistics Organizing B.V. Toernooiveld 304, NL-6525 EC 

Nijmegen, The Netherlands

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3Eindhoven University Of Technology Technology Management

Department P.O. Box 513, NL-5600 MB Eindhoven, The Netherlands

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ABSTRACT

This paper presents a case study for the application of agentmediated 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. 

Categories and Subject Descriptors

I.2.11 [Distributed Artificial Intelligence]: Intelligent agents H.4.2   [Information Systems Applications]: Logistics

General Terms

Management, Performance, Design, Measurement.

Keywords

Automated negotiation, multi-agent systems, transportation logistics, supply chain management.