IDEAS home Printed from https://ideas.repec.org/h/spr/oprchp/978-3-319-89920-6_17.html
   My bibliography  Save this book chapter

Multiobjective Spatial Optimization: The Canadian Coast Guard

In: Operations Research Proceedings 2017

Author

Listed:
  • H. A. Eiselt

    (University of New Brunswick)

  • Amin Akbari

    (Dalhousie University)

  • Ron Pelot

    (Dalhousie University)

Abstract

This paper examines a problem of the Canadian Coast Guard. The mission of the Coast Guard (Atlantic) is to provide assistance to vessels or persons aboard that are in distress. This piece focuses on the search & rescue mission of the Coast Guard. The two most important criteria include the average time that it takes to reach a vessel in distress, and the number of vessel incidents that can be reached within a reasonable time limit. Given that demand throughout the year is not constant but peaks during the summer season (in excess of 50% of the distress calls occur in July and August), there is a potential for congestion and the resulting inability of the Coast Guard to answer distress calls within an acceptable amount of time. In order to avoid formulating the model as a probabilistic model with all its computational difficulties, we use backup coverage as a third important concern. We model the problem of locating different types of rescue vessels along the coastline of the Maritime Provinces as an integer programming problem with three objectives, each dealing with one of the major concerns. The problem is solved given the available vessels and on the basis of incidents reported in the past. The solution is compared to the arrangement that is presently used by the Coast Guard.

Suggested Citation

  • H. A. Eiselt & Amin Akbari & Ron Pelot, 2018. "Multiobjective Spatial Optimization: The Canadian Coast Guard," Operations Research Proceedings, in: Natalia Kliewer & Jan Fabian Ehmke & Ralf Borndörfer (ed.), Operations Research Proceedings 2017, pages 121-126, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-89920-6_17
    DOI: 10.1007/978-3-319-89920-6_17
    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_17. 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.