IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p2647-d1054446.html
   My bibliography  Save this article

Leveraging Digital Twins to Support Industrial Symbiosis Networks: A Case Study in the Norwegian Wood Supply Chain Collaboration

Author

Listed:
  • Zhenyuan Liu

    (Department of Management Science, School of Management, Xiamen University, Xiamen 361005, China)

  • Daniel Wilhelm Hansen

    (Institute for Linguistics and Nordic Studies, UiO, University of Oslo, 0315 Oslo, Norway)

  • Ziyue Chen

    (Department of Manufacturing and Civil Engineering, NTNU, Norwegian University of Science and Technology, 7034 Trondheim, Norway)

Abstract

Despite the powerful potentials of digital twins as regards achieving sustainable operations and supply chain management, there is currently very little research on using digital twins for industrial symbiosis, and even less research investigating user needs. Therefore, it is necessary to conduct sufficient research on the market and user needs before setting the framework of digital twins for industrial symbiosis. We interviewed six companies in the Norwegian wood industry that could potentially share one symbiosis network. Based on the interviews, we analyzed the needs of potential digital twins for industrial symbiosis, aiming to understand the user’s point of view on digital twins for industrial symbiosis. The research is expected to provide intellectual support for future digital twins’ design from the user perspective. This paper not only promotes the design of digital twins for industrial symbiosis from the user perspective, but also provides an analytical framework for the user perspective analysis before the development of digital twins-based supply chain collaboration in the industrial symbiosis network.

Suggested Citation

  • Zhenyuan Liu & Daniel Wilhelm Hansen & Ziyue Chen, 2023. "Leveraging Digital Twins to Support Industrial Symbiosis Networks: A Case Study in the Norwegian Wood Supply Chain Collaboration," Sustainability, MDPI, vol. 15(3), pages 1-18, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2647-:d:1054446
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/2647/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/3/2647/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2020. "Reconfigurable supply chain: the X-network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 4138-4163, July.
    2. Alles, Michael & Gray, Glen L., 2020. "“The first mile problem”: Deriving an endogenous demand for auditing in blockchain-based business processes," International Journal of Accounting Information Systems, Elsevier, vol. 38(C).
    3. Xi Vincent Wang & Lihui Wang, 2019. "Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3892-3902, June.
    4. Chen, Ziyue & Huang, Lizhen, 2021. "Digital twins for information-sharing in remanufacturing supply chain: A review," Energy, Elsevier, vol. 220(C).
    5. Özden Tozanlı & Elif Kongar & Surendra M. Gupta, 2020. "Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain," Sustainability, MDPI, vol. 12(13), pages 1-33, July.
    6. Ziyue Chen & Lizhen Huang, 2022. "The Impact of Digital Twins on Local Industry Symbiosis Networks in Light of the Uncertainty Caused by the Public Crisis," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(1), pages 1-28, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Bernardine Chidozie & Ana Ramos & José Vasconcelos & Luis Pinto Ferreira & Reinaldo Gomes, 2024. "Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
    2. Bernardine Chigozie Chidozie & Ana Luísa Ramos & José Vasconcelos Ferreira & Luís Pinto Ferreira, 2023. "Residual Agroforestry Biomass Supply Chain Simulation Insights and Directions: A Systematic Literature Review," Sustainability, MDPI, vol. 15(13), pages 1-16, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
    2. Tang, Lianhua & Li, Yantong & Bai, Danyu & Liu, Tao & Coelho, Leandro C., 2022. "Bi-objective optimization for a multi-period COVID-19 vaccination planning problem," Omega, Elsevier, vol. 110(C).
    3. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    4. Shraddha Mishra & Surya Prakash Singh, 2022. "Designing dynamic reverse logistics network for post-sale service," Annals of Operations Research, Springer, vol. 310(1), pages 89-118, March.
    5. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    6. Chen, Ziyue & Huang, Lizhen, 2021. "Digital twins for information-sharing in remanufacturing supply chain: A review," Energy, Elsevier, vol. 220(C).
    7. Chervenkova, Tanya & Ivanov, Dmitry, 2023. "Adaptation strategies for building supply chain viability: A case study analysis of the global automotive industry re-purposing during the COVID-19 pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    8. Xi, Mengjie & Liu, Yang & Fang, Wei & Feng, Taiwen, 2024. "Intelligent manufacturing for strengthening operational resilience during the COVID-19 pandemic: A dynamic capability theory perspective," International Journal of Production Economics, Elsevier, vol. 267(C).
    9. Metzker Soares, Paula & Thevenin, Simon & Adulyasak, Yossiri & Dolgui, Alexandre, 2024. "Adaptive robust optimization for lot-sizing under yield uncertainty," European Journal of Operational Research, Elsevier, vol. 313(2), pages 513-526.
    10. Zhang Yu & Muhammad Umar & S. Abdul Rehman, 2022. "Adoption of technological innovation and recycling practices in automobile sector: under the Covid-19 pandemic," Operations Management Research, Springer, vol. 15(1), pages 298-306, June.
    11. Özden Tozanlı & Elif Kongar & Surendra M. Gupta, 2020. "Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain," Sustainability, MDPI, vol. 12(13), pages 1-33, July.
    12. Kendrik Yan Hong Lim & Pai Zheng & Chun-Hsien Chen, 2020. "A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1313-1337, August.
    13. Yuan, Sai & Zhou, Ran & Li, Mengna & Lv, Chengchao, 2023. "Investigating the influence of digital technology application on employee compensation," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    14. Alessia Napoleone & Alessandro Bruzzone & Ann-Louise Andersen & Thomas Ditlev Brunoe, 2022. "Fostering the Reuse of Manufacturing Resources for Resilient and Sustainable Supply Chains," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    15. Weili Yin & Wenxue Ran, 2023. "Explaining Firm Performance During the COVID-19 With fsQCA: The Role of Supply Network Complexity, Inventory Turns, and Geographic Dispersion," SAGE Open, , vol. 13(2), pages 21582440231, June.
    16. Hendrik Haße & Hendrik Valk & Frederik Möller & Boris Otto, 2022. "Design Principles for Shared Digital Twins in Distributed Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 751-772, December.
    17. Luis Francisco López-Castro & Elyn L. Solano-Charris, 2021. "Integrating Resilience and Sustainability Criteria in the Supply Chain Network Design. A Systematic Literature Review," Sustainability, MDPI, vol. 13(19), pages 1-26, September.
    18. Li, Guo & Xue, Jing & Li, Na & Qi, Qingwu, 2024. "Does digital finance favor firms in supply chains? Roles of green innovation and bargaining power," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    19. Terje Andersen & Bjørn Jæger & Alok Mishra, 2020. "Circularity in Waste Electrical and Electronic Equipment (WEEE) Directive. Comparison of a Manufacturer’s Danish and Norwegian Operations," Sustainability, MDPI, vol. 12(13), pages 1-15, June.
    20. Burgos, Diana & Ivanov, Dmitry, 2021. "Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).

    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:15:y:2023:i:3:p:2647-:d:1054446. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.