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A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

Citations

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  1. Georgios Falekas & Athanasios Karlis, 2021. "Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects," Energies, MDPI, vol. 14(18), pages 1-26, September.
  2. Sebastian Lawrenz & Benjamin Leiding & Marit Elke Anke Mathiszig & Andreas Rausch & Mirco Schindler & Priyanka Sharma, 2021. "Implementing the Circular Economy by Tracing the Sustainable Impact," IJERPH, MDPI, vol. 18(21), pages 1-13, October.
  3. Zhicheng Xu & Vignesh Selvaraj & Sangkee Min, 2025. "Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model," Journal of Intelligent Manufacturing, Springer, vol. 36(2), pages 1237-1260, February.
  4. Leung, Eric K.H. & Lee, Carmen Kar Hang & Ouyang, Zhiyuan, 2022. "From traditional warehouses to Physical Internet hubs: A digital twin-based inbound synchronization framework for PI-order management," International Journal of Production Economics, Elsevier, vol. 244(C).
  5. Giulia Pellegrino & Massimiliano Gervasi & Mario Angelelli & Angelo Corallo, 2025. "A Conceptual Framework for Digital Twin in Healthcare: Evidence from a Systematic Meta-Review," Information Systems Frontiers, Springer, vol. 27(1), pages 7-32, February.
  6. Remigiusz Iwańkowicz & Radosław Rutkowski, 2023. "Digital Twin of Shipbuilding Process in Shipyard 4.0," Sustainability, MDPI, vol. 15(12), pages 1-27, June.
  7. Zhining Zhao & Hassan Alli & Masoud Ahmadipour & Rosalam Che me, 2024. "Sustainable agility of product development process based on a rough cloud technique: A case study on China’s small and medium enterprises," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-27, August.
  8. Lan, Lan & Zhou, Zhifang, 2024. "Complementary or substitutive effects? The duality of digitalization and ESG on firm's innovation," Technology in Society, Elsevier, vol. 77(C).
  9. Yujie Ma & Xueer Chen & Shuang Ma, 2024. "Optimal Sustainable Manufacturing for Product Family Architecture in Intelligent Manufacturing: A Hierarchical Joint Optimization Approach," Sustainability, MDPI, vol. 16(7), pages 1-27, March.
  10. Rong Xie & Muyan Chen & Weihuang Liu & Hongfei Jian & Yanjun Shi, 2021. "Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review," Sustainability, MDPI, vol. 13(5), pages 1-22, February.
  11. Jiajun Zhou & Liang Gao & Chao Lu & Xifan Yao, 2025. "Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach," Journal of Intelligent Manufacturing, Springer, vol. 36(3), pages 1761-1779, March.
  12. João Vieira & João Poças Martins & Nuno Marques de Almeida & Hugo Patrício & João Gomes Morgado, 2022. "Towards Resilient and Sustainable Rail and Road Networks: A Systematic Literature Review on Digital Twins," Sustainability, MDPI, vol. 14(12), pages 1-23, June.
  13. Paula Morella & María Pilar Lambán & Jesús Royo & Juan Carlos Sánchez & Jaime Latapia, 2023. "Technologies Associated with Industry 4.0 in Green Supply Chains: A Systematic Literature Review," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
  14. Mohammed M. Mabkhot & Pedro Ferreira & Antonio Maffei & Primož Podržaj & Maksymilian Mądziel & Dario Antonelli & Michele Lanzetta & Jose Barata & Eleonora Boffa & Miha Finžgar & Łukasz Paśko & Paolo M, 2021. "Mapping Industry 4.0 Enabling Technologies into United Nations Sustainability Development Goals," Sustainability, MDPI, vol. 13(5), pages 1-33, February.
  15. Tianjie Fu & Shimin Liu & Peiyu Li, 2025. "Digital twin-driven smelting process management method for converter steelmaking," Journal of Intelligent Manufacturing, Springer, vol. 36(4), pages 2749-2765, April.
  16. Shimin Liu & Pai Zheng & Jinsong Bao, 2024. "Digital Twin-based manufacturing system: a survey based on a novel reference model," Journal of Intelligent Manufacturing, Springer, vol. 35(6), pages 2517-2546, August.
  17. Fuwen Hu & Xianjin Qiu & Guoye Jing & Jian Tang & Yuanzhi Zhu, 2023. "Digital twin-based decision making paradigm of raise boring method," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2387-2405, June.
  18. Fromhold-Eisebith, Martina & Marschall, Philip & Peters, Robert & Thomes, Paul, 2021. "Torn between digitized future and context dependent past – How implementing ‘Industry 4.0’ production technologies could transform the German textile industry," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  19. Lim, Kendrik Yan Hong & Dang, Le Van & Chen, Chun-Hsien, 2024. "Incorporating supply and production digital twins to mitigate demand disruptions in multi-echelon networks," International Journal of Production Economics, Elsevier, vol. 273(C).
  20. SungKu Kang & Ran Jin & Xinwei Deng & Ron S. Kenett, 2023. "Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 415-428, February.
  21. Jielin Chen & Shuang Li & Hanwei Teng & Xiaolong Leng & Changping Li & Rendi Kurniawan & Tae Jo Ko, 2025. "Digital twin-driven real-time suppression of delamination damage in CFRP drilling," Journal of Intelligent Manufacturing, Springer, vol. 36(2), pages 1459-1476, February.
  22. Angelo Corallo & Vito Del Vecchio & Marianna Lezzi & Paola Morciano, 2021. "Shop Floor Digital Twin in Smart Manufacturing: A Systematic Literature Review," Sustainability, MDPI, vol. 13(23), pages 1-24, November.
  23. Luis M. Camarinha-Matos & Andre Dionisio Rocha & Paula Graça, 2024. "Collaborative approaches in sustainable and resilient manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 35(2), pages 499-519, February.
  24. Saporiti, Nicolò & Cannas, Violetta Giada & Pozzi, Rossella & Rossi, Tommaso, 2023. "Challenges and countermeasures for digital twin implementation in manufacturing plants: A Delphi study," International Journal of Production Economics, Elsevier, vol. 261(C).
  25. Gurtej Singh Saini & AmirHossein Fallah & Pradeepkumar Ashok & Eric van Oort, 2022. "Digital Twins for Real-Time Scenario Analysis during Well Construction Operations," Energies, MDPI, vol. 15(18), pages 1-22, September.
  26. Jyrki Savolainen & Michele Urbani, 2021. "Maintenance optimization for a multi-unit system with digital twin simulation," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1953-1973, October.
  27. Weifei Hu & Jinyi Shao & Qing Jiao & Chuxuan Wang & Jin Cheng & Zhenyu Liu & Jianrong Tan, 2023. "A new differentiable architecture search method for optimizing convolutional neural networks in the digital twin of intelligent robotic grasping," Journal of Intelligent Manufacturing, Springer, vol. 34(7), pages 2943-2961, October.
  28. Zhicheng Xu & Vignesh Selvaraj & Sangkee Min, 2024. "State identification of a 5-axis ultra-precision CNC machine tool using energy consumption data assisted by multi-output densely connected 1D-CNN model," Journal of Intelligent Manufacturing, Springer, vol. 35(1), pages 147-160, January.
  29. Maksim Dli & Andrei Puchkov & Valery Meshalkin & Ildar Abdeev & Rail Saitov & Rinat Abdeev, 2020. "Energy and Resource Efficiency in Apatite-Nepheline Ore Waste Processing Using the Digital Twin Approach," Energies, MDPI, vol. 13(21), pages 1-13, November.
  30. Kaibo Lu & Zhen Li & Andrew Longstaff, 2025. "In-process surface quality monitoring of the slender workpiece machining with digital twin approach," Journal of Intelligent Manufacturing, Springer, vol. 36(3), pages 2039-2053, March.
  31. Yanzhi Zhao & Mingsi Zhao & Fengyu Shi, 2024. "Integrating Moral Education and Educational Information Technology: A Strategic Approach to Enhance Rural Teacher Training in Universities," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 15053-15093, September.
  32. Madalina CUC, 2021. "Improving The Decision-Making Process By Modeling Digital Twins In A Big Data Environment," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(1), pages 138-154, May.
  33. Seon Han Choi & Byeong Soo Kim, 2025. "Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin," Journal of Intelligent Manufacturing, Springer, vol. 36(3), pages 1547-1561, March.
  34. Fabrizio Banfi & Raffaella Brumana & Graziano Salvalai & Mattia Previtali, 2022. "Digital Twin and Cloud BIM-XR Platform Development: From Scan-to-BIM-to-DT Process to a 4D Multi-User Live App to Improve Building Comfort, Efficiency and Costs," Energies, MDPI, vol. 15(12), pages 1-26, June.
  35. Elisa Negri & Vibhor Pandhare & Laura Cattaneo & Jaskaran Singh & Marco Macchi & Jay Lee, 2021. "Field-synchronized Digital Twin framework for production scheduling with uncertainty," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1207-1228, April.
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