Bridging the Wheelhouse and Engine Room: Collaborative Decision-Making Between Deck Officers and Engineer Officers During Main Engine Maneuvering Operations
Keywords:
IoT sensor fusion; propulsion-aware navigation; restricted visibility; maritime safety management; intelligent shipsAbstract
Maneuvering operations represent the most dynamically complex and operationally hazardous phase of a vessel's voyage, demanding precise real-time coordination between deck officers at the bridge and engineer officers in the engine room. Communication breakdowns at this critical interdepartmental interface have been consistently implicated in propulsion-related maritime accidents, yet the collaborative decision-making processes that govern bridge-engine room interaction during maneuvering remain insufficiently examined in the research literature. This study investigates collaborative decision-making patterns between deck and engineer officers during main engine telegraph operations, employing a qualitative observational design grounded in human factors engineering and Crew Resource Management theory. Through 72 hours of structured simulation observation across two maritime training centers and 36 semi-structured officer interviews, the study documents communication pattern frequencies, decision latency behaviors, information-sharing strategies, and CRM competency profiles across both officer categories and experience levels. Findings reveal persistent asymmetries in situational awareness, authority gradient distortions under time pressure, and a systematic underutilization of standardized communication protocols during non-routine maneuvering events. The study contributes a dual-department collaborative framework for bridge-engine room operations and offers evidence-based recommendations for integrated officer training design and propulsion safety protocol development.
References
Adnan, N., Abdullah, S. N. H. S., Yusof, R. J. R., Zainal, N. F. A., Qamar, F., & Yadegaridehkordi, E. (2023). A systematic literature review in robotics experiential learning with computational and adversarial thinking. IEEE Access, 11, 21862–21884. https://doi.org/10.1109/access.2023.3249761
Buddha, H., Shuib, L., Idris, N., & Eke, C. I. (2024). Technology-assisted language learning systems: A systematic literature review. IEEE Access, 12, 27645–27668. https://doi.org/10.1109/access.2024.3366663
Chae, G.-Y., An, S.-H., & Lee, C.-Y. (2021). Demand forecasting for liquified natural gas bunkering by country and region using meta-analysis and artificial intelligence. Sustainability, 13(16), 9058. https://doi.org/10.3390/su13169058
Ciancarini, P., Giancarlo, R., & Grimaudo, G. (2024). Digital transformation in the public administrations: A guided tour for computer scientists. IEEE Access, 12, 20890–20915. https://doi.org/10.1109/access.2024.3363075
Husain, O., Salim, N., Alias, R. A., Abdelsalam, S., Ramayah, T., Shehzad, H. M. F., & Hamzah, M. (2021). Modeling academic research collaborator selection using an integrated model. IEEE Access, 9, 94216–94235. https://doi.org/10.1109/access.2021.3096250
Kim, S.-K., Choi, S., & Kim, C. (2021). The framework for measuring port resilience in Korean port case. Sustainability, 13(21), 11883. https://doi.org/10.3390/su132111883
Kim, B., Kim, G., & Kang, M.-H. (2022). Study on comparing the performance of fully automated container terminals during the COVID-19 pandemic. Sustainability, 14(15), 9415. https://doi.org/10.3390/su14159415
Mahdi, M. N., Ahmad, A. R., Ismail, R., Natiq, H., & Mohammed, M. (2020). Solution for information overload using faceted search — A review. IEEE Access, 8, 119554–119571. https://doi.org/10.1109/access.2020.3005536
Paridaens, H., & Notteboom, T. (2021). National integrated maritime policies (IMP): Vision formulation, regional embeddedness, and institutional attributes for effective policy integration. Sustainability, 13(17), 9557. https://doi.org/10.3390/su13179557
Shi, Y., Ramayah, T., Hongmei, L., Zhang, Y., & Wang, W. (2023). Analysing the current status, hotspots, and future trends of technology management: Using the WoS and Scopus database. Heliyon, 9(9), e19922. https://doi.org/10.1016/j.heliyon.2023.e19922
Widnall, E., Dodd, S., Russell, A. E., Curtin, E., Simmonds, R., Limmer, M., & Kidger, J. (2024). Mechanisms of school-based peer education interventions to improve young people's health literacy or health behaviours: A realist-informed systematic review. PLOS ONE, 19(4), e0302431. https://doi.org/10.1371/journal.pone.0302431
Zhang, W., Zhang, Y., & Qiao, W. (2022). Risk scenario evaluation for intelligent ships by mapping hierarchical holographic modeling into risk filtering, ranking and management. Sustainability, 14(4), 2103. https://doi.org/10.3390/su14042103
