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Maritime industry is experiencing the influence of industry 4.0 solutions and investments. A commercial ship is comparable to an industrial plant and several analogies can be found between the two worlds. Digital twins represent the convergence of the engineering and the digital information technology worlds into the so-called cyber-physical systems, which promise to solve problems in the virtual world, based on the real-world data collected online, and then processed through simulation models and artificial intelligence. Although there is some research literature referring to digital twin (DT) solutions for specific problems in shipping, general lack of clarity on the level and direction of progress in this field has been observed by researchers. This paper tries to address exactly this question by collecting data using an opinion survey of managers of some maritime industry companies based in Greece – a country where a significant part of the global commercial fleet is being managed from. Drivers, enablers and impediments to the adoption of DT in shipping have been identified by an opinion survey. A first attempt to devise a generic cost-benefit framework for the adoption of DT solutions in shipping is presented as a key managerial decision-making tool for such a big investment needed for DT.

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References

  1. Lee J, Bagheri B, Kao HA. A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing letters, 2015; 3: 18-23.
     Google Scholar
  2. Hartmann D, Van der Auweraer H. Digital twins. In Progress in Industrial Mathematics: Success Stories, 2021; 3-17. Springer, Cham.
     Google Scholar
  3. Stani? V, Hadjina M, Fafandjel N, Matulja T. Toward shipbuilding 4.0 – an industry 4.0 changing the face of the shipbuilding industry. Brodogradnja: Teorija i praksa brodogradnje i pomorske tehnike, 2018; 69(3), 111-128.
     Google Scholar
  4. Aiello G, Giallanza A, Mascarella G. Shipping 4.0: General framework for a new cybershopping era. In International Conference Production Engineering and Management (PEM) 2019; 1:155-165.
     Google Scholar
  5. Aiello G, Giallanza A, Mascarella G. Towards Shipping 4.0. A preliminary gap analysis. Procedia Manufacturing, 2020; 42: 24-29.
     Google Scholar
  6. Sullivan BP, Desai S, Sole J, Rossi M, Ramundo L, Terzi S. Maritime 4.0–opportunities in digitalization and advanced manufacturing for vessel development. Procedia manufacturing, 2020: 42: 246-253.
     Google Scholar
  7. Lind M, Becha H, Watson RT, Kouwenhoven N, Zuesongdham P, Baldauf U. Digital twins for the maritime sector. Smart Maritime Network 2020 Aug. Available from: smartmaritimenetwork.com/wp-content/uploads/2020/07/Digital-twins-for-the-maritime-sector.pdf.
     Google Scholar
  8. Sharma A, Kosasih E, Zhang J, Brintrup A, Calinescu A. Digital twins: State of the art theory and practice, challenges, and open research questions. Journal of Industrial Information Integration, 2020. Available from: https://research-information.bris.ac.uk/ws/portalfiles/ portal/304247833/2011.02833v3.pdf.
     Google Scholar
  9. Leng J, Wang D, Shen W, Li X, Liu Q, Chen X. Digital twins-based smart manufacturing system design in Industry 4.0: A review. Journal of manufacturing systems, 2021; 60: 119-137.
     Google Scholar
  10. Sepehri A, Vandchali HR, Siddiqui AW, Montewka J. The impact of shipping 4.0 on controlling shipping accidents: A systematic literature review. Ocean Engineering, 2021; 243: 110162.
     Google Scholar
  11. Tao F, Sui F, Liu A, Qi Q, Zhang M, Song B, et al. Digital twin-driven product design framework. International Journal of Production Research, 2019; 57(12): 3935-3953.
     Google Scholar
  12. Kavallieratos G, Diamantopoulou V, Katsikas SK. Shipping 4.0: Security requirements for the cyber-enabled ship. IEEE Transactions on Industrial Informatics, 2020; 16(10): 6617-6625.
     Google Scholar
  13. Progoulakis I, Rohmeyer P, Nikitakos N. Cyber Physical Systems Security for Maritime Assets. Journal of Marine Science and Engineering, 2021; 9(12):1384. https://doi.org/10.3390/jmse9121384
     Google Scholar
  14. Baum-Talmor P, Kitada M. Industry 4.0 in shipping: Implications to seafarers' skills and training. Transportation research interdisciplinary perspectives, 2022: 13: 100542.
     Google Scholar
  15. Shetty S. How to use digital twins in your IoT strategy. Gartner group 2017. Available from: www.gartner.com/smarterwithgartner/how-to-use-digital-twins-in-your-iot-strategy.
     Google Scholar
  16. Stoumpos S, Theotokatos G, Mavrelos C, Boulougouris E. Towards marine dual fuel engines digital twins—integrated modelling of thermodynamic processes and control system functions. Journal of Marine Science and Engineering, 2020; 8(3):200.
     Google Scholar
  17. Stein EW, Zwass V. Actualizing organizational memory with information systems. Information systems research, 1995; 6(2):85-117.
     Google Scholar
  18. Giaglis GM, Mylonopoulos N, Doukidis GI. The ISSUE methodology for quantifying benefits from information systems. Logistics Information Management, 1999; 12(1/2): 50-62.
     Google Scholar