IDEAS home Printed from
   My bibliography  Save this article

A Multi-Product And Multi-Period Facility Location Model For Reverse Logistics


  • Benaissa Mounir

    () (REGIM/Ecole Nationale d'Ingenieur de Sfax-Tunisie)

  • Benabdelhafid Abdellatif

    (Laboratoire CERENE / Université du Havre)


Reverse logistics has become an important entity in the world economy. Businesses increasingly have to cope with product returns, mandated environmental regulations and increasing costs associated with product disposal. This study presents a cost-minimization model for a multi-time-step, multi-type product waste reverse logistics system. The facility location is a central issue of the logistics networks. In this article we are interested in optimizing of the sites facility location for a reverse logistics network for product end of life. Specifically, we present a Mixed Linear Program model for the strategic problem of collection sites facility location, cannibalization and recycling. This model allows determining to open or to close the sites previously in the reverse logistics network. All of these decisions are to minimize the costs of end of life product returns at various time periods considered in the planning. To solve the mathematical program, we have used the evaluation process and separation implemented in CPLEX commercial solver.

Suggested Citation

  • Benaissa Mounir & Benabdelhafid Abdellatif, 2010. "A Multi-Product And Multi-Period Facility Location Model For Reverse Logistics," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 2(1), pages 7-19, December.
  • Handle: RePEc:pcz:journl:v:2:y:2010:i:2:p:7-19

    Download full text from publisher

    File URL:
    Download Restriction: no

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Ioan Constantin Dima & Mariana Man & Sebastian Kot, 2010. "Use Of Abraham Maslow’S Motivation Theory For Setting Consumers’ Satisfaction-Non-Satisfaction," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 2(1), pages 132-138, December.
    2. L. Randall Wray & Stephanie Bell, 2004. "Introduction," Chapters,in: Credit and State Theories of Money, chapter 1 Edward Elgar Publishing.
    Full references (including those not matched with items on IDEAS)

    More about this item


    reverse logistics; facility location end of life product; location problem; mixed Linear Program model;

    JEL classification:

    • L00 - Industrial Organization - - General - - - General
    • D00 - Microeconomics - - General - - - General


    Access and download statistics


    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:pcz:journl:v:2:y:2010:i:2:p:7-19. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Paula Bajdor). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.