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Digital twins for information-sharing in remanufacturing supply chain: A review

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  • Chen, Ziyue
  • Huang, Lizhen

Abstract

Information asymmetries are the main challenge restricting the development of close-loop supply chains. As a potential solution, digital twins are expected to promote this development by integrating them with dynamic information. This article analyses current research on remanufacturing supply chains and digital twins, and discusses the potential usefulness, challenges and solutions of using digital twins in remanufacturing supply chains. We conduct a systematic literature review to answer two research questions: 1) whether the information asymmetry in the current remanufacturing supply chain has been resolved; and 2) whether digital twins have a positive impact in solving problems with information asymmetries in remanufacturing supply chains. By analysing 288 articles, we find that, first, this problem remains to be solved, there being two research gaps in particular. Secondly, we find that the digital-twin applications are conducive to solving this problem. In addition, this article discusses the potential challenges to this application and proposes four future research directions. The article not only summarizes the research related to remanufacturing supply chains and digital twins theoretically, it also provides support for digital-twin applications in the remanufacturing industry.

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  • Chen, Ziyue & Huang, Lizhen, 2021. "Digital twins for information-sharing in remanufacturing supply chain: A review," Energy, Elsevier, vol. 220(C).
    • Handle: RePEc:eee:energy:v:220:y:2021:i:c:s036054422032819x
    DOI: 10.1016/j.energy.2020.119712
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    Cited by:

    1. Nguyen, Tiep & Duong, Quang Huy & Nguyen, Truong Van & Zhu, You & Zhou, Li, 2022. "Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 244(C).
    2. Semeraro, Concetta & Aljaghoub, Haya & Abdelkareem, Mohammad Ali & Alami, Abdul Hai & Olabi, A.G., 2023. "Digital twin in battery energy storage systems: Trends and gaps detection through association rule mining," Energy, Elsevier, vol. 273(C).
    3. do Amaral, J.V.S. & dos Santos, C.H. & Montevechi, J.A.B. & de Queiroz, A.R., 2023. "Energy Digital Twin applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    4. Milena Kajba & Borut Jereb & Tina Cvahte Ojsteršek, 2023. "Exploring Digital Twins in the Transport and Energy Fields: A Bibliometrics and Literature Review Approach," Energies, MDPI, vol. 16(9), pages 1-23, May.
    5. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    6. 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.
    7. Yu, Hongyang & Wang, Jinchao & Xu, Jiajun, 2023. "Assessing the role of digital economy agglomeration in energy conservation and emission reduction: Evidence from China," Energy, Elsevier, vol. 284(C).
    8. Katarzyna Grzybowska & Agnieszka A. Tubis, 2022. "Supply Chain Resilience in Reality VUCA—An International Delphi Study," Sustainability, MDPI, vol. 14(17), pages 1-13, August.
    9. Semeraro, Concetta & Aljaghoub, Haya & Abdelkareem, Mohammad Ali & Alami, Abdul Hai & Dassisti, Michele & Olabi, A.G., 2023. "Guidelines for designing a digital twin for Li-ion battery: A reference methodology," Energy, Elsevier, vol. 284(C).
    10. 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).
    11. Jianteng Xu & Peng Wang & Qi Xu, 2022. "Impact of Information Asymmetry on the Operation of Green Closed-Loop Supply Chain under Government Regulation," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    12. Monika Kosacka-Olejnik & Mariusz Kostrzewski & Magdalena Marczewska & Bogna Mrówczyńska & Paweł Pawlewski, 2021. "How Digital Twin Concept Supports Internal Transport Systems?—Literature Review," Energies, MDPI, vol. 14(16), pages 1-37, August.

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