IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-319-20430-7_7.html
   My bibliography  Save this book chapter

Demand Uncertainty for the Location-Routing Problem with Two-dimensional Loading Constraints

In: Computational Management Science

Author

Listed:
  • Thiago Alves Queiroz

    (University of Porto)

  • José Fernando Oliveira

    (University of Porto)

  • Maria Antónia Carravilla

    (University of Porto)

  • Flávio Keidi Miyazawa

    (State University of Campinas)

Abstract

In this work, we investigate the location-routing problem with two-dimensional loading constraints under uncertainty on customer’s demand. Uncertainty on the demand is modeled by a scenario approach in order to get a solution satisfying all the scenarios. An integer programming model concerning decisions on strategic (depot locations), tactical (what customers are served by each depot) and operational levels (routes from depots to customers including the two-dimensional arrangement of items) is proposed. A cut is inserted whenever an infeasible packing is found and the model is applied to solve one real case based example considering three different scenarios.

Suggested Citation

  • Thiago Alves Queiroz & José Fernando Oliveira & Maria Antónia Carravilla & Flávio Keidi Miyazawa, 2016. "Demand Uncertainty for the Location-Routing Problem with Two-dimensional Loading Constraints," Lecture Notes in Economics and Mathematical Systems, in: Raquel J. Fonseca & Gerhard-Wilhelm Weber & João Telhada (ed.), Computational Management Science, edition 1, pages 47-53, Springer.
    • Handle: RePEc:spr:lnechp:978-3-319-20430-7_7
    DOI: 10.1007/978-3-319-20430-7_7
    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:lnechp:978-3-319-20430-7_7. 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.