Distributed Decision Making in Combined in Combined Vehicle Routing and Break Scheduling.

Christoph Manuel Meyer, Herbert Kopfer, A.L. Kok, Johannes M.J. Schutten

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

The problem of combined vehicle routing and break scheduling comprises three subproblems: clustering of customer requests, routing of vehicles, and break scheduling. In practice, these subproblems are usually solved in the interaction between planners and drivers. We consider the case that the planner performs the clustering and the drivers perform the routing and break scheduling. To analyze this problem, we embed it into the framework of distributed decision making proposed by Schneeweiss (Eur J Oper Res 150(2):237–252, 2003). We investigate two different degrees of anticipation of the drivers’ planning behaviour using computational experiments. The results indicate that in this application a more precise anticipation function results in better objective values for both the planner and the drivers.
Original languageEnglish
Title of host publicationDynamics in Logistics, Part 2
EditorsHans-Jörg Kreowski, Bernd Scholz-Reiter, Klaus-Dieter Thoben
Place of PublicationHeidelberg, Dordrecht, London, New York
PublisherSpringer
Pages125-133
ISBN (Print)978-3-264-11996-5
DOIs
Publication statusPublished - 17 Aug 2011
EventSecond International Conference on Dynamics in Logistics, LDIC 2009 - Bremen, Germany
Duration: 1 Aug 20091 Aug 2009

Publication series

Name
PublisherSpringer

Conference

ConferenceSecond International Conference on Dynamics in Logistics, LDIC 2009
Period1/08/091/08/09
OtherAugust 2009

Keywords

  • METIS-278022
  • IR-79708

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