Assessment 2 Module: Maritime and Offshore Safety Analysis

Assessment Brief: Maritime and Offshore Safety Analysis (MOAS701) – Assessment 2

Module Title: Maritime and Offshore Safety Analysis Module Code: MOAS701 Level: 7 (Postgraduate) Credits: 20 Assessment Weighting: 60% of module mark Assessment Type: Individual Written Report Word Count: 2,500 words (excluding appendices, references, and tables/figures) Submission Deadline: Friday, 14 November 2025, 2:00 PM (via Turnitin on Canvas) Feedback and Provisional Mark: Within 20 working days via Canvas

Module Learning Outcomes Assessed

This assessment addresses the following learning outcomes (LOs):

• LO2: Critically evaluate formal safety design, assessment, and review processes in marine, offshore, and port environments.
• LO3: Apply quantitative and qualitative risk assessment methodologies to identify, analyse, and mitigate hazards in maritime operations.
• LO4: Recommend evidence-based strategies for enhancing safety and security in logistics and supply chain contexts, considering regulatory frameworks such as ISM Code and SOLAS.

Assessment Task

You are required to produce an individual report that conducts a Formal Safety Assessment (FSA) for a hypothetical offshore oil and gas logistics operation in the North Sea. The scenario involves the transfer of hazardous cargo (e.g., liquefied natural gas) from a floating storage unit to a supply vessel during adverse weather conditions, incorporating elements of cybersecurity threats to navigation systems.

Your report should:

1. Identify and Describe Hazards: Systematically identify at least five key hazards (e.g., collision risks, cyber vulnerabilities, environmental spills) using tools such as HAZID (Hazard Identification) or bow-tie analysis. Draw on real-world data from recent incidents (e.g., 2024 North Sea supply chain disruptions).
2. Conduct Risk Assessment: Apply a risk matrix or quantitative method (e.g., Bayesian Networks or Fault Tree Analysis) to evaluate the likelihood, severity, and overall risk levels of the identified hazards. Include calculations or models where appropriate (appendices permitted).
3. Propose Mitigation Measures: Develop and justify at least three mitigation strategies per hazard, aligned with international standards (e.g., IMO guidelines on maritime cybersecurity and offshore safety). Evaluate their feasibility in terms of cost, implementation, and impact on logistics efficiency.
4. Discuss Broader Implications: Critically reflect on how these assessments contribute to resilient maritime supply chains, considering emerging challenges like climate change and autonomous vessel integration by 2030.

The report must demonstrate critical analysis, supported by academic literature and industry reports. Use clear structure: Executive Summary (200 words), Introduction, Main Body (sections as above), Conclusion, Recommendations, and References (Harvard style). Include visuals (e.g., risk matrices, diagrams) to enhance clarity.

Assessment Criteria and Marking Rubric

The report will be marked out of 100, aligned to the following criteria (percentages indicative):

Penalties: Exceeding word count by >10% deducts 10%; late submission deducts 5%/day (up to 15%). Use of AI tools must be declared; undeclared use may result in academic misconduct proceedings.

Support and Resources

• Lecturer Contact: Prof. [Your Name], email: [email protected]; Office Hours: Tuesdays 10-12 PM.
• Recommended Reading: IMO (2023) Guidelines on Maritime Cyber Risk Management; Allianz (2025) Safety and Shipping Review.
• Skills Workshops: Risk Modelling session on 28 October 2025 (book via Canvas).
• Extensions: Apply via Mitigating Circumstances process at least 48 hours in advance.

This assessment mirrors industry practices, preparing you for roles in maritime safety consulting or offshore operations management. Good luck!

Suggested Peer-Reviewed References

These references align with the assignment’s focus on risk assessment, mitigation strategies, and safety in maritime logistics and offshore operations, drawn from reputable journals via Google Scholar and publisher databases (2019–2025).

• Hu, S., Fang, C., Wu, J., Fan, C. and Zhang, X. (2025) ‘Enhanced risk assessment framework for complex maritime traffic systems via data driven: A case study of ship navigation in Arctic’, Reliability Engineering & System Safety, 258, p. 110991.
• Inada, T., Miyauchi, Y. and Utne, I.B. (2024) ‘A systematic review of risk analysis studies for maritime autonomous surface ships’, Journal of Marine Science and Technology [Preprint]. Available at: https://doi.org/10.1007/s00773-024-01040-0 (Accessed: 5 October 2025).
• Koray, M., Kaya, E. and Keskin, M.H. (2025) ‘Determining logistical strategies to mitigate supply chain disruptions in maritime shipping for a resilient and sustainable global economy’, Sustainability, 17(12), p. 5261.
• Stach, T., Kinkel, Y., Constapel, M. and Burmeister, H.-C. (2023) ‘Maritime anomaly detection for vessel traffic services: A survey’, Journal of Marine Science and Engineering, 11(6), p. 1174.
• Wang, Y., Zhang, J. and Chen, L. (2025) ‘Enabling autonomous navigation: adaptive multi-source risk quantification in maritime transportation’, Reliability Engineering & System Safety, 255, p. 111118.