IAMU Research Project FY2023 Final Report

Evaluating skill requirements for maritime autonomous surface ships

Publication Year 2024
Research Coordinator Chia-Hsun Chang
Research Partners Christos Kontovas; Robyn Pyne; Mehdi Belabyad; Na Li; Wenming Shi; Paul Szwed
Publisher International Association of Maritime Universities (IAMU)
DOI https://doi.org/10.68436/r20230105

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Abstract

Maritime Autonomous Surface Ships (MASS) is reshaping the maritime sector, demanding a reassessment of the skills and competences needed for future maritime workforce. This study explores the changing skill requirements for operating MASS and addresses the gap between current maritime education and industry needs. The research is divided into two parts. Part 1 uses a bibliometric analysis and a systematic literature review to explore the key skills needed for MASS. Based on 53 papers, the bibliometric analysis reveals a growing interest in MASS skills research between 2017 and 2023, with Norway taking the lead in terms of research output and impact. The systematic review identifies four main components: Technical & Digital competence, Operational & Managerial competence, Higher-Order Thinking Skills, and Interpersonal skills; each including specific skills. These results indicate a shift occurring in maritime education and training as it now emphasizes integrating traditional seafaring skills with emerging ones like automation, digitalization and human-machine interaction. Part 2 evaluates the identified skills using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. To do so, a survey with 84 maritime experts was conducted in which four criteria were considered: regulatory compliance, ease of integration and training, training feasibility, and ease of assessment. Based on the TOPSIS analysis, 'Maritime Competence', 'Operational Skills', and 'Communication & Collaboration' emerged as the top three ranked skills. This study highlights both traditional maritime competence and soft skills as important elements in operating MASS. The results offer insights for adapting education and training programmes in line with future demands of the maritime industry as it evolves.

Keywords

Maritime Autonomous Surface Ships (MASS), Maritime Education and Training (MET), bibliometric analysis

References

  1. Aboul-Dahab, K.M. (2021) ‘The International Maritime Transport and Logistics Conference “Marlog 10”’, in The Readiness of the Maritime Education for the Autonomous Shipping Operations. Arab Academy for Science, Technology and Maritime Transport. Alcaide, J. I., and R. G. Llave. 2020. “Critical Infrastructures Cybersecurity and the Maritime Sector.” Transportation Research Procedia 45: 547–554
  2. Alop, A., (2021) Smart Shipping Needs Smart Maritime Education and Training. The 1st International Conference on Maritime Education and Development, pp.131–142.
  3. Bachari-Lafteh, M., & Harati-Mokhtari, A. (2021). Operator’s skills and knowledge requirement in autonomous ships control centre. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 5(2), 74-83.
  4. Bartusevičienė, I., & Valionienė, E. (2021). An Integrative approach for digitalization challenges of the future maritime specialists: a case study of the Lithuanian maritime academy. TransNav, 15, 349-355.
  5. Belev, B.C. and Daskalov, S.I., (2019) Computer technologies in shipping and a new tendency in ship’s officers’ education and training. IOP Conference Series: Materials Science and Engineering, 6181.
  6. Bogusławski, K., Gil, M., Nasur, J., & Wróbel, K. (2022). Implications of autonomous shipping for maritime education and training: the cadet’s perspective. Maritime Economics & Logistics, 24(2), 327-343.
  7. Burmeister, H. C., Bruhn, W., Rødseth, Ø. J., & Porathe, T. (2014). Autonomous unmanned merchant vessel and its contribution towards the e-Navigation implementation: The MUNIN perspective. International Journal of e-Navigation and Maritime Economy, 1, 1-13.
  8. Chae, C. J., Kim, D., & Lee, H. T. (2021). A study on the analysis of the effects of passenger ship abandonment training using VR. Applied Sciences, 11(13), 5919.
  9. Chang, C. H., Kontovas, C., Yu, Q., & Yang, Z. (2021). Risk assessment of the operations of maritime autonomous surface ships. Reliability Engineering & System Safety, 207, 107324
  10. Chang, C.H., Kontovas, C., Yang, Z., Karamperidis, S., Ung, S.T. and Lin, C.C. (2022). Maritime Autonomous Surface Ships (MASS): Current regulations and regulatory challenges. Presented at the International Association of Maritime Economists conference, Busan, September 14-16. Cybersecurity Ventures (2020) Cybercrime to Cost the World $10.5 Trillion Annually By 2025. Available at: https://cybersecurityventures.com/hackerpocalypse-cybercrime-report- 2016/ [Accessed on 11/05/2023]
  11. Deling, W., Dongkui, W., Changhai, H. and Changyue, W., (2020) Marine Autonomous Surface Ship – A Great Challenge to Maritime Education and Training. American Journal of Water Science and Engineering, 61, p.10. DNV-GL (2016). Cyber security resilience management for ships and mobile offshore units in operation. Available at: https://www.gard.no/Content/21865536/DNVGL-RP-0496.pdf [Accessed on 03/05/2023]
  12. Emad, G. R., & Ghosh, S. (2023). Identifying essential skills and competencies towards building a training framework for future operators of autonomous ships: a qualitative study. WMU Journal of Maritime Affairs, 1-19.
  13. Fan, S., & Yang, Z. (2023). Towards objective human performance measurement for maritime safety: A new psychophysiological data-driven machine learning method. Reliability Engineering & System Safety, 109103.
  14. Heij, C., & Knapp, S. (2018). Predictive power of inspection outcomes for future shipping accidents–an empirical appraisal with special attention for human factor aspects. Maritime Policy & Management, 45(5), 604-621.
  15. Hu, L., Naeem, W., Rajabally, E., Watson, G., Mills, T., Bhuiyan, Z., & Salter, I. (2017). Colregs-compliant path planning for autonomous surface vehicles: A multiobjective optimization approach. IFAC-PapersOnLine, 50(1), 13662-13667.
  16. Hwang, T., & Youn, I. H. (2022a). Navigation Scenario Permutation Model for Training of Maritime Autonomous Surface Ship Remote Operators. Applied Sciences, 12(3), 1651.
  17. Hwang, T., & Youn, I. H. (2022b). Difficulty Evaluation of Navigation Scenarios for the Development of Ship Remote Operators Training Simulator. Sustainability, 14(18), 11517. IBM, 2020, Mayflower Autonomous Ship Launches. Available at: https://newsroom.ibm.com/2020-09-15-Mayflower-Autonomous-Ship-Launches (Accessed on 23/04/2023) IMO, 2021, Autonomous ships: regulatory scoping exercise completed, Available at: https://www.imo.org/en/MediaCentre/PressBriefings/pages/MASSRSE2021.aspx (Accessed on 23/04/2023)
  18. Jo, S., D’agostini, E., & Kang, J. (2020). From seafarers to E-farers: Maritime cadets’ perceptions towards seafaring jobs in the industry 4.0. Sustainability, 12(19), 8077.
  19. Johansen, A. R. (2018). Required skills on autonomous ships. Available at: https://www.linkedin.com/pulse/required-skills-autonomous-ships-a-rune-johansen/ (Accessed on 11.04.2023)
  20. Kala, N. and Balakrishnan, M. (2019) Cyber preparedness in maritime industry. International Journal of Scientific and Technical Advancements, 5, 19-28 Kala, N., and M. Balakrishnan. 2019. “Cyber Preparedness in Maritime Industry.” International Journal of Scientific and Technical Advancements 5: 19–28.
  21. Kanwal, K., Shi, W., Kontovas, C., Yang, Z., & Chang, C. H. (2022). Maritime cybersecurity: are onboard systems ready?. Maritime Policy & Management, 1-19.
  22. Kim, M., Joung, T. H., Jeong, B., & Park, H. S. (2020). Autonomous shipping and its impact on regulations, technologies, and industries. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 4(2), 17-25.
  23. Kim, T. E., & Mallam, S. (2020). A Delphi-AHP study on STCW leadership competence in the age of autonomous maritime operations. WMU Journal of Maritime Affairs, 19(2), 163- 181.
  24. Komianos, A. (2018). The autonomous shipping era. operational, regulatory, and quality challenges. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 12(2).
  25. Li, X., & Yuen, K. F. (2022). Autonomous ships: A study of critical success factors. Maritime Economics & Logistics, 1-27.
  26. Mallam, S. C., Nazir, S., & Sharma, A. (2020). The human element in future Maritime Operations–perceived impact of autonomous shipping. Ergonomics, 63(3), 334-345.
  27. Mallam, S. C., Nazir, S., & Renganayagalu, S. K. (2019). Rethinking maritime education, training, and operations in the digital era: Applications for emerging immersive technologies. Journal of Marine Science and Engineering, 7(12), 428. MCA (2020) Maritime Autonomy regulation lab (MARLab) report, Available at: https://www.gov.uk/government/publications/maritime-autonomy-regulation-lab-marlab- report/maritime-autonomy-regulation-lab-marlab-report (Accessed on 23/04/2023) Moon, K.D., Jeong, C.Y., Kim, M.S., Park, Y.K. and Lee, K., 2020, Develop and evaluate of intelligent autonomous-ship framework. In IOP Conference Series: Materials Science and Engineering, 929(1), 1-7 MUNIN, 2015, Research in Maritime Autonomous Systems Project Results and Technology Potentials. Available at: http://www.cml.fraunhofer.de/content/dam/cml/de/documents/Sonstiges/MUNIN%20-%20fin al%20brochure.pdf (Accessed on 23/04/2023)
  28. Nasur, J. and Boguslawski, K., (2020) Awareness and Attitude of Maritime Students Towards the Introduction of Autonomous Merchant Ships – Preliminary Results. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 144, pp.859– 863.
  29. Pan, Y., Oksavik , A. and Hildre, H.P., (2019) Foresight Future Skills in Digitalisation Era: The Role of Participatory Design in Simulation-based Maritime Education. Norwegian Uni. of Science and Technology.
  30. Park, C., Kontovas, C., Yang, Z., & Chang, C. H. (2023). A BN driven FMEA approach to assess maritime cybersecurity risks. Ocean & Coastal Management, 235, 106480.
  31. Porathe, T. (2019). Maritime Autonomous Surface Ships (MASS) and the COLREGS: Do we need quantified rules or is “the ordinary practice of seamen” specific enough?. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 13(3), 511-517 SAFETY4SEA (2020). Maritime Autonomous Surface Ships initiative launched. Available at: https://safety4sea.com/maritime-autonomous-surface-ships-initiative-launched/ (Accessed on 23/04/2023)
  32. Sharma, A. and Kim, T., (2021) Exploring technical and non-technical competencies of navigators for autonomous shipping. Maritime Policy & Management, 49(6), pp.831–849. The Maritime Executive (2021). Mayflower Autonomous Vessel's Problems Diagnosed and Repaired. Available at: https://www.maritime-executive.com/article/mayflower-autonomous- vessel-s-problems-diagnosed-and-repaired (Accessed on 23/04/2023)
  33. Veal, R., Tsimplis, M., & Serdy, A. (2019). The legal status and operation of unmanned maritime vehicles. Ocean Development & International Law, 50(1), 23-48. World Maritime News (2019). NYK completes world’s first Maritime Autonomous surface ships trial, Available at: https://www.offshore-energy.biz/nyk-completes-worlds-first- maritime-autonomous-surface-ships-trial/ (Accessed on 23/04/2023) Yara (2022). Yara Birkeland. Available at: https://www.yara.com/news-and-media/press- kits/yara-birkeland-press-kit/ (Accessed on 23/04/2023)