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Sustainable Supply Chain Models for 3D Printed Houses

Author

Listed:
  • Helen Rogers

    (TH Nürnberg - Technische Hochschule Nürnberg Georg Simon Ohm)

  • Mohit Srivastava

    (Métis Lab EM Normandie - EM Normandie - École de Management de Normandie)

  • Myriam-Elissavet Tsakou

    (TH Nürnberg - Technische Hochschule Nürnberg Georg Simon Ohm)

  • Anisha Prashad

    (TH Nürnberg - Technische Hochschule Nürnberg Georg Simon Ohm)

Abstract

Although steps have been taken to improve sustainable practices in the construction industry, progress to date has been slow. Advances in 3D printing technology provide a significant opportunity to reconfigure construction industry supply chains to improve its sustainability credentials. This study investigates the adoption of 3D construction printing (3DCP) as a sustainable alternative and/or to augment traditional construction industry supply chains. By analysing six 3DCP organisations and feeding six critical insights into the Business Model Navigator, this study proposes three supply chain models i.e. generative construction service, hybrid service, and emergency service. A generative supply chain model can be used as an on-demand service for customers with limited knowledge of 3DCP. The hybrid model can integrate 3DCP with a traditional construction supply chain to construct part of the building. Finally, the emergency services model can be used to rapidly construct cost-effective housing (e.g for refugees). The adoption of 3D Printing using these supply chain models in housing construction supply chains has the potential to offer considerable benefits both for construction companies and end-users, while at the same time improving sustainability, affordability and productivity. \textcopyright 2023 Kedge Business School.

Suggested Citation

  • Helen Rogers & Mohit Srivastava & Myriam-Elissavet Tsakou & Anisha Prashad, 2024. "Sustainable Supply Chain Models for 3D Printed Houses," Post-Print hal-04432413, HAL.
  • Handle: RePEc:hal:journl:hal-04432413
    DOI: 10.1080/16258312.2023.2298186
    as

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