IDEAS home Printed from https://ideas.repec.org/h/spr/oprchp/978-3-319-89920-6_2.html
   My bibliography  Save this book chapter

Anticipation in Dynamic Vehicle Routing

In: Operations Research Proceedings 2017

Author

Listed:
  • Marlin W. Ulmer

    (Technische Universität Braunschweig)

Abstract

For many routing applications, decision making is conducted under incomplete information. The information is only revealed successively during the execution of the routing. In many cases, dispatchers adapt their decisions dynamically to new information. Nevertheless, to avoid myopic decisions, dispatchers have to anticipate future events in current decision making. In this paper, we propose the use of a Markov decision process (MDP) to model stochastic dynamic vehicle routing problems (SDVRPs). For the integration of stochasticity in dynamic decision making, we present novel methods of approximate dynamic programming (ADP). These methods are extensions and combinations of general ADP-methods and are tailored to match the characteristics of SDVRPs. A comparison with conventional state-of-the-art benchmark heuristics for a SDVRP with stochastic customer requests proves the ADP-methods to be highly advantageous.

Suggested Citation

  • Marlin W. Ulmer, 2018. "Anticipation in Dynamic Vehicle Routing," Operations Research Proceedings, in: Natalia Kliewer & Jan Fabian Ehmke & Ralf Borndörfer (ed.), Operations Research Proceedings 2017, pages 11-16, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-89920-6_2
    DOI: 10.1007/978-3-319-89920-6_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:oprchp:978-3-319-89920-6_2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.