IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v24y2016i1p1-31.html
   My bibliography  Save this article

A fuzzy data envelopment analysis approach for multi-objective covering facility location problem using NSGA-II

Author

Listed:
  • Soroush Avakh Darestani
  • Sepideh Mohammadreza

Abstract

Selecting a location has great influence on production cost or service units and also accessibility of production resources such as facilities transportation raw material and labour. In today's competitive environment, selecting a proper location to establish different locations such as banks branches, delivering services to enhance customer satisfaction and absorbing more demand into the market is very crucial for organisations. In this research, a multi objective hybrid model was developed for selecting optimum locations. The main objective was to maximise convergence of the demand points as well as maximising distance of the selected locations. To meet these objectives, local reliability-based maximum expected covering location problem (LR-MEXCLP) was employed. Moreover, maximising efficiency of the selected locations was also considered accordingly. In this context, data envelopment analysis (DEA) was benefited. As in real environment, the exact data for location problem usually are not available; to solve this problem, a fuzzy number was used for the model parameter and consequently, a non-dominated sorting genetic algorithm II (NSGA-II) was applied.

Suggested Citation

  • Soroush Avakh Darestani & Sepideh Mohammadreza, 2016. "A fuzzy data envelopment analysis approach for multi-objective covering facility location problem using NSGA-II," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 24(1), pages 1-31.
    • Handle: RePEc:ids:ijisen:v:24:y:2016:i:1:p:1-31
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=78000
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijisen:v:24:y:2016:i:1:p:1-31. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=188 .

    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.