Title
A multi-agent platform for auction-based allocation of loads in transportation logistics
Abstract
This paper describes an agent-based platform for the allocation of loads in distributed transportation logistics, developed as a collaboration between CWI, Dutch National Center for Mathematics and Computer Science, Amsterdam and Vos Logistics Organizing, Nijmegen, The Netherlands. The platform follows a real business scenario proposed by Vos, and it involves a set of agents bidding for transportation loads to be distributed from a central depot in the Netherlands to different locations across Germany. The platform supports both human agents (i.e. transportation planners), who can bid through specialized planning and bidding interfaces, as well as automated, software agents. We exemplify how the proposed platform can be used to test both the bidding behaviour of human logistics planners, as well as the performance of automated auction bidding strategies, developed for such settings. The paper first introduces the business problem setting and then describes the architecture and main characteristics of our auction platform. We conclude with a preliminary discussion of our experience from a human bidding experiment, involving Vos planners competing for orders both against each other and against some (simple) automated strategies.
Year
DOI
Venue
2011
10.1016/j.eswa.2010.08.136
Expert Syst. Appl.
Keywords
Field
DocType
software platform,transportation logistics,automated auction bidding strategy,multi-agent platform,proposed platform,vos logistics organizing,auction platform,agents bidding,vos planner,supply chain management,bidding interface,agent-based platform,human bidding experiment,auction platforms,multi-agent systems,bidding behaviour,auction-based allocation,human-computer interaction,multi agent system,software agent,multi agent systems,human computer interaction
Architecture,Computer science,Simulation,Software agent,Operations research,Multi-agent system,Transportation logistics,Supply chain management,Artificial intelligence,Bidding,Machine learning
Journal
Volume
Issue
ISSN
38
4
Expert Systems With Applications
Citations 
PageRank 
References 
15
0.66
13
Authors
4
Name
Order
Citations
PageRank
Valentin Robu194870.44
Han Noot211219.03
Han La Poutré324033.07
Willem-Jan van Schijndel4211.55