Improving safety and efficiency in the maritime industry: a multi-disciplinary approach

The maritime industry, pivotal to global trade and transportation, is riddled with challenges, necessitating innovative and holistic approaches to enhance safety and efficiency. This research embarks on a comprehensive exploration of these challenges, proffering solutions that amalgamate diverse disciplines, technologies, and practices. A significant portion of the study delves into the efficacy of simulator-based training, highlighting its superiority over conventional methods in fostering a controlled and tailored learning environment, with a particular emphasis on the concept of social fidelity. The research also underscores the repercussions of defective turbocharging systems on large marine diesel engines, emphasizing their impact on maritime safety. Additionally, the study introduces an optimized operational model leveraging Ant Colony Optimization (ACO), evidencing its potential in streamlining daily maritime procedures. A meticulous examination of safety protocols during oil and gas transfer and transport further enriches the discourse. In summation, this thesis presents a tapestry of solutions and innovations, urging the maritime industry towards a paradigm of enhanced safety, efficiency, and sustainability.
This thesis, spread across five chapters, delves into these challenges and offers comprehensive solutions. Initially, the research underscores the industry's importance and inherent risks, advocating for a multi-disciplinary approach that merges technologies from various fields. A subsequent literature review highlights the intricacies of safety during oil and gas transfer, emphasizing tailored risk management. Chapter 3 transitions to training, contrasting simulation?based methods with conventional ones, with a highlight on the innovative concept of 'social fidelity.' This theme of effective training continues in Chapter 4, focusing on the technical challenges, especially the impact of faulty turbocharging systems on marine diesel engines. The link between quality training and the ability to tackle these technical issues becomes evident, showcasing the intertwined nature of these chapters. In our pursuit of excellence, Chapter 5 introduces Ant Colony Optimization (ACO) for maritime operations, blending AI with operational research. This fresh approach aims to optimize daily procedures, marking a significant stride in operational efficiency. Concluding, the study emphasizes the synergy between safety protocols, training methodologies, technical oversight, and operational optimization, advocating for a blend of technology and best practices to guide the maritime industry towards a safer and more sustainable future. However, the approach has limitations. Its applicability might differ based on maritime conditions, and while the ACO model is promising, it needs extensive real-world validation. The thesis sets the stage for future research, with prospects in advanced AI integration, refining simulation training, and expanding risk management. In essence, this research is both a solution guide and a direction setter for an industry striving for enhanced safety, efficiency, and sustainability.