IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v31y2018i3p420-447.html
   My bibliography  Save this article

Green logistics decision support system for blood distribution in time window

Author

Listed:
  • Manoj Kumar
  • Dinesh Kumar

Abstract

During previous years, the role of green logistics in the distribution management has seen a tremendous increase due to increased focus on environmental protection, consumer environmental concern, green legislation and sustainability. This has led to an increase in recycling, reuse and emission control to reduce economic and environmental costs. In this research, a genetic algorithm-based decision support system for the route generation and comparison of the routes based on various economic and environmental cost factors. A mixed integer linear programming formulation of four vehicle routing problems with simultaneous delivery and pickup (full and partial) and time window (hard and soft) is provided and solved by genetic algorithm. The real-life data of blood distribution is used for comparing VRPSDPTW variants on the basis of their economic and environmental value. The computational results indicate that total cost is lower in the case of a full pickup with the soft time windows. The logistic organisations can use the proposed system in decision making to select an appropriate transportation scheme with lower economic and environmental costs.

Suggested Citation

  • Manoj Kumar & Dinesh Kumar, 2018. "Green logistics decision support system for blood distribution in time window," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 31(3), pages 420-447.
    • Handle: RePEc:ids:ijlsma:v:31:y:2018:i:3:p:420-447
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=95824
    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:ijlsma:v:31:y:2018:i:3:p:420-447. 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=134 .

    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.