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

Publication series

Name
PublisherSpringer

Keywords

  • METIS-278022
  • IR-79708

Fingerprint Dive into the research topics of 'Distributed Decision Making in Combined in Combined Vehicle Routing and Break Scheduling.'. Together they form a unique fingerprint.

  • Cite this

    Meyer, C. M., Kopfer, H., Kok, A. L., & Schutten, J. M. J. (2011). Distributed Decision Making in Combined in Combined Vehicle Routing and Break Scheduling. In H-J. Kreowski, B. Scholz-Reiter, & K-D. Thoben (Eds.), Dynamics in Logistics, Part 2 (pp. 125-133). Heidelberg, Dordrecht, London, New York: Springer. https://doi.org/10.1007/978-3-642-11996-5_12