Impact of Human Error on Maritime Industry: Case of Jamaica

Mazen Hussein1, Said Abdelkader 2

DOI NO. https://doi.org/10.59660/50705 Received 01/12/2024, Revised 05/01/2025, Acceptance 19/02/2025, Available online and Published 01/07/2025

Abstract:

Human error remains a significant challenge in the maritime industry, contributing to substantial loss of life, economic losses, environmental damage and employment reduction. This research investigates the prevalence of human error in maritime operations globally, regionally and in Jamaica by analyzing accident data for identification of recurring patterns and causal factors. The study delves into the health, psychological, environmental, organizational and technological factors, underpinnings of human error within this complex domain. Then, the research focuses on the maritime industry to provide a localized perspective by examining the data of maritime incidents in Jamaica for the period between the years 2009 and 2023. The study aims to identify the unique challenges and vulnerabilities associated with human error in Jamaica. The research recourses to a mixed-method research methodology; the simple sampling method is first used to analyze participant replies and assure the legitimacy and impartiality of the conclusions reached from the data in relation to the research. Purposive sampling, on the other hand, is used to analyze marine accidents in Jamaica and guarantee that the sample closely fits with the research objectives, hence increasing the rigor and dependability of the study data and findings.

The research also aims to provide effective recommendations to eliminate major contributing causes of human error, and to improve maritime safety by gaining enough knowledge of the influence of human error on the marine sector both globally and in Jamaica. Finally, the research proposes a comprehensive approach for tackling human error from several viewpoints, thus leading to a significant decrease in marine accidents and incidents in Jamaica and worldwide.

Aden Container Terminal’s Future: Opportunities, Threats, and the Role of Private Sector Participation

Ashraf Qardash

DOI NO. https://doi.org/10.59660/50704 Received 25/10/2024, Revised 02/12/2024, Acceptance 08/01/2025, Available online and Published 01/07/2025

Abstract:

This study examines the function of Public-Private Partnerships (PPPs) in improving the operational efficiency and competitive advantage of maritime ports, particularly the Aden Container Terminal in Yemen. The study examines the obstacles and prospects encountered by the Port of Aden, marked by inefficiencies in public service facilities and infrastructure stemming from variables such as administrative plurality and insufficient technical expertise. It underscores the strategic significance of PPPs in attracting private investment, facilitating the transfer of new technology, and enhancing efficiency via contemporary management practices. The research examines particular case studies through a descriptive-analytical framework and SWOT analysis, identifying critical internal and external factors affecting the viability of PPPs at Aden Container Terminal, including geographical benefits and a complex political environment. The paper concluded the importance in having appropriate partnership with the specialized private sector, however, it has also suggested further research on the economic impacts of private sector involvement and reviews of legal frameworks to better integrate PPPs into port management and operations, aiming to bolster Aden’s position as a regional trade hub.

Deep Reinforcement Learning for Optimizing Electronically Controlled Propulsion: A DDPG-Based Approach

Mohab M. Eweda1, Karim A. ElNaggar2

DOI NO. https://doi.org/10.59660/50703 Received 23/10/2024, Revised 16/11/2024, Acceptance 23/01/2025, Available online and Published 01/07/2025

Abstract:

Optimizing propulsion systems in dynamic environments is a difficult task that necessitates a delicate balance between increasing thrust and reducing fuel consumption. This paper presents an innovative reinforcement learning framework utilizing the Deep Deterministic Policy Gradient (DDPG) algorithm to tackle this trade-off. A bespoke simulation environment was created to emulate authentic propulsion system dynamics, integrating continuous state and action spaces that represent thrust, fuel efficiency, and environmental perturbations. The proposed method allows the reinforcement learning agent to develop adaptive control policies that surpass conventional techniques, like PID controllers, in attaining enhanced fuel efficiency and thrust stability. The DDPG framework exhibits substantial enhancements through thorough assessment in various operational contexts, attaining a cumulative reward increase of up to 40% and an 18% enhancement in fuel efficiency relative to traditional control methods. This study emphasizes the transformative capacity of reinforcement learning in enhancing propulsion system efficacy for aerospace, marine, and industrial applications, facilitating the development of sustainable and intelligent transportation technologies.

Examining Employment and Retention Challenges of Arab Non-Native English-Speaking Seafarers in the International Maritime Industry: A Quantitative Analysis

Soha Heikal1, Alaa Abdelbarry2, Mohamed Khatab3, Ahmed Swidan4, Mahmoud Mansi5

DOI NO. https://doi.org/10.59660/50702 Received 06/10/2024, Revised 25/11/2024, Acceptance 11/01/2025, Available online and Published 01/07/2025

Abstract:

This study investigates the impact of English-speaking fluency on non-native English-speaking seafarers’ success in securing international maritime jobs and explores the role of formal and informal English education in enhancing employability, integrating 3 vital sustainable development goals; goal 8 (Decent Work & Economic Growth), goal 4 (Quality Education), and goal 10 (Reduced Inequalities).

The research design employs a quantitative methodology using the survey as primary data, with a purpose to investigate a clear and tangible understanding of the problem and craft evidence-based solutions. The phase focuses on collecting and analyzing quantitative data through online questionnaires, to gather data on general and maritime English language proficiency, job experiences, English educational background experiences, and perceptions of the significance of English proficiency for career advancement, via the perspectives of 3 main stakeholders; non-native English-speaking seafarers with different ranks (sample of 374), maritime employers (sample of 43), and maritime English educators (sample of 10). This structured approach aims to capture measurable data that can provide a foundation for understanding the broader context of the research. The research targeted non-native English-speaking Arab countries including Egypt, United Arab Emirates, Saudi Arabia, Lebanon, Sudan, Jordan, Libya and Yemen.

The results reveal a significant correlation (0.872) between speaking fluency and job acquisition, with formal Business English education (0.815) and informal learning methods (0.910) also strongly influencing employment opportunities. Career development programs and cultural exchanges are crucial for aligning graduates’ skills with market demands, with correlations of 0.855 and 0.842, respectively. The study concludes that non-native English-speaking seafarers face substantial challenges, including communication barriers and discrimination, impacting their job prospects and overall well-being. Recommendations include enhancing language training in maritime curricula, implementing diversity and inclusion policies, and promoting ongoing informal learning opportunities during and after college. These strategies aim to improve non-native English-speaking seafarers’ employability and foster a supportive maritime work environment, ultimately enhancing safety and operational efficiency at sea, and the overall maritime economy.