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A qualitative assessment tool for innovative waste logistics scenarios: a case study for Flanders

Author

Listed:
  • Jeffrey Willems

    (University of Antwerp)

  • Tom Pauwels

    (POM Oost-Vlaanderen)

  • Edwin Hassel

    (University of Antwerp)

  • Thierry Vanelslander

    (University of Antwerp)

  • Steve Sel

    (VIL)

Abstract

With new, innovative logistics tools and frameworks coming to the market rather quickly, developing a decision support framework to assess its value before carrying out extensive, quantitative economic assessment studies and large-scale implementation is necessary. This paper focuses on developing a qualitative decision support framework—aiding the deployment of successful tools in the logistics landscape and avoiding high sunk costs without added value. Resulting in a qualitative tool based on a literature review and industry expert interviews. The derived parameter impact model assesses the importance of different parameters, allowing to find opportunities without the need for extensive information and/or investments. Therefore, the parameter impact model was applied to three different cases of waste logistics located in Flanders: (1) the use of telemetry (i.e., the use of sensors to identify the filling rate of waste collection points remotely), (2) small waste compactors on the business side, and (3) inland waterways to transport waste to treatment centers. The qualitative results can vary depending on the specific case, establishing the fundament for future innovations.

Suggested Citation

  • Jeffrey Willems & Tom Pauwels & Edwin Hassel & Thierry Vanelslander & Steve Sel, 2022. "A qualitative assessment tool for innovative waste logistics scenarios: a case study for Flanders," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-24, December.
    • Handle: RePEc:spr:josatr:v:7:y:2022:i:1:d:10.1186_s41072-022-00107-8
    DOI: 10.1186/s41072-022-00107-8
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    References listed on IDEAS

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    1. Suzanne, Elodie & Absi, Nabil & Borodin, Valeria, 2020. "Towards circular economy in production planning: Challenges and opportunities," European Journal of Operational Research, Elsevier, vol. 287(1), pages 168-190.
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