IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-256-9_71.html

Research on Vehicle Distribution Route Optimization Considering Carbon Emissions

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Kaiwei Jia

    (Liaoning Technical University, School of Business and Management)

  • Shengnan Wu

    (Liaoning Technical University, School of Business and Management)

Abstract

The distribution of low carbon logistics is very important to the current environmental issues given the background of the market economy’s and logistics industry’s rapid development, the growing scale of distribution, the low efficiency of distribution costs, and the influence of carbon emission pollution. In order to reduce the overall cost of distribution, this work develops a general function model of vehicle carbon emissions and solves it using the neighborhood search algorithm. An example demonstrates the model’s viability. The findings of the study demonstrate that the distribution model increases distribution effectiveness while safeguarding the environment, and it can also reduce costs, offering direction and a point of reference for the use of low-carbon logistics distribution.

Suggested Citation

  • Kaiwei Jia & Shengnan Wu, 2024. "Research on Vehicle Distribution Route Optimization Considering Carbon Emissions," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 706-714, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-256-9_71
    DOI: 10.2991/978-94-6463-256-9_71
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:advbcp:978-94-6463-256-9_71. 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.