IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i19p8775-d1761685.html
   My bibliography  Save this article

Enhancing High-Bay Warehouse Sustainability: High-Strength and Low-Carbon Steel for Weight, Cost, and CO 2 Optimization

Author

Listed:
  • Christian Dago Ngodji

    (CRM Group, 4000 Liège, Belgium)

  • Mathieu Gauchey

    (CRM Group, 4000 Liège, Belgium)

  • Géraldine Wain

    (CRM Group, 4000 Liège, Belgium)

  • Francesco Morelli

    (Department of Civil and Industrial Engineering, Università di Pisa, 56126 Pisa, Italy)

  • Agnese Natali

    (Department of Civil and Industrial Engineering, Università di Pisa, 56126 Pisa, Italy)

  • Francesco Lippi

    (S.I.T.A., Pretoria 0081, South Africa)

  • Marina D’Antimo

    (ArcelorMittal Flat Europe, L-1160 Luxembourg, Luxembourg)

Abstract

Online shopping has experienced rapid growth in recent years, driven by evolving consumer habits and the impact of the COVID-19 pandemic. With increasing demand for quick and efficient product delivery, retailers are turning to advanced storage solutions to support logistics and distribution. High Bay Warehouses (HBW) have emerged as a key solution, offering high-density vertical storage to maximize space utilization. This study focuses on optimizing HBW structures through the use of high-strength steels, particularly HyPer ® Steel grades. By replacing conventional steels such as S350GD with higher-strength alternatives, this study demonstrates the potential to reduce the overall structural weight, lower carbon emissions, and improve cost efficiency, while maintaining equivalent structural performance. The research explores how the conjunction of material optimization and the use of low-carbon steel (XCarb ® ) can contribute to more sustainable and efficient storage solutions for the growing demands of modern logistics.

Suggested Citation

  • Christian Dago Ngodji & Mathieu Gauchey & Géraldine Wain & Francesco Morelli & Agnese Natali & Francesco Lippi & Marina D’Antimo, 2025. "Enhancing High-Bay Warehouse Sustainability: High-Strength and Low-Carbon Steel for Weight, Cost, and CO 2 Optimization," Sustainability, MDPI, vol. 17(19), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:19:p:8775-:d:1761685
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/19/8775/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/19/8775/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    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:gam:jsusta:v:17:y:2025:i:19:p:8775-:d:1761685. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.