IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v43y2022i3p317-335.html
   My bibliography  Save this article

Green GAS heuristics for the routing problem

Author

Listed:
  • Sachin Sreekumar
  • S. Ram Narayan
  • E.S. Devnath
  • K. Ganesh
  • S.P. Anbuudayasankar
  • V.R. Sathishkumar
  • M.S. Narassima

Abstract

Logistics and supply chain management can provide several ways to improve the efficiency and productivity across the supply chain which in turn contributes significantly to greater economies of scale. One of the ways to achieve this is by ensuring proper quantities of storage at the point of demand and ensuring the best possible distribution plans, including routing of the distribution vehicles. There has been a sudden surge in the amount of CO2 emissions in recent years and therefore a regulation on these emissions is the need of the hour. This inventory routing problem aims at integrating the routing of vehicles used for collection and distribution. In this paper, a three-staged method named GAS: grouping of nodes, allocation of the right quantities to these nodes and serving through these grouped nodes is proposed. The proposed method is made greener by considering the carbon footprint in the chain and will provide optimal solutions that can be implemented in distribution systems in a supply chain.

Suggested Citation

  • Sachin Sreekumar & S. Ram Narayan & E.S. Devnath & K. Ganesh & S.P. Anbuudayasankar & V.R. Sathishkumar & M.S. Narassima, 2022. "Green GAS heuristics for the routing problem," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 43(3), pages 317-335.
    • Handle: RePEc:ids:ijlsma:v:43:y:2022:i:3:p:317-335
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=127084
    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:43:y:2022:i:3:p:317-335. 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.