IDEAS home Printed from https://ideas.repec.org/a/igg/jdsst0/v9y2017i4p49-65.html
   My bibliography  Save this article

A Decision Support System for Sustainable Waste Collection

Author

Listed:
  • Mattias Strand

    (University of Skövde, School of Engineering Science, Skövde, Sweden)

  • Anna Syberfeldt

    (University of Skövde, School of Engineering Science, Skövde, Sweden)

  • André Geertsen

    (University of Skövde, School of Engineering Science, Skövde, Sweden)

Abstract

This paper presents a decision support system (DSS) for making the waste collection process more sustainable. Currently, waste collection schedules and routes are created manually in most waste management organizations. This is both very time consuming and likely to result in poor solutions, as the task is extremely difficult due to the large number of bins combined with the many parameters to be considered simultaneously. With a sophisticated DSS, it becomes possible to address the complexities of optimal waste collection and improve sustainability—not least from the environmental perspective. The DSS proposed here is designed to be used on the operational level in the waste management organization and supports daily operations and activities. System evaluation indicates that it can reduce truck operating time by approximately 25%, corresponding to a saving of approximately 21,300 kg of carbon dioxide and 187 kg of nitrogen oxides per year and truck.

Suggested Citation

  • Mattias Strand & Anna Syberfeldt & André Geertsen, 2017. "A Decision Support System for Sustainable Waste Collection," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 9(4), pages 49-65, October.
  • Handle: RePEc:igg:jdsst0:v:9:y:2017:i:4:p:49-65
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.2017100104
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Seyed Hamed Ghanadpour & Sajjad Shokouhyar & Mohadeseh Pourabbasi, 2023. "Effective end‑of‑life (EOL) products management in mobile phone industry with using Twitter data analysis perspective," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11337-11366, October.

    More about this item

    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:igg:jdsst0:v:9:y:2017:i:4:p:49-65. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.