Abstract
This study analyzes the risks in ship traffic services management using the functional resonance analysis method (FRAM), a novel approach that focuses on identifying interactions leading to performance variability rather than errors. The research area is the Turkish Straits vessel traffic service management (VTSM) region, known for frequent risky ship passages. The goal is to ensure safe VTSM, minimize the negative impacts on people, goods, and the environment. The daily routine functions of the VTSM, determined through consultations with vessel traffic operators (VTOs), are explained by following FRAM analysis principles. Qualitative methods, aligned with expert opinions, are used to examine potential performance variabilities and hazard factors. The resulting risk situation for each function is categorized by criticality on a color-coded scale. Solution proposals are provided to manage critical function variability, enhancing the VTSM system’s responsiveness and adaptability.
Original language | English |
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Article number | 021201 |
Journal | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering |
Volume | 10 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Jun 2024 |
Bibliographical note
Publisher Copyright:© 2024 American Society of Mechanical Engineers (ASME). All rights reserved.
Keywords
- FRAM
- functions
- performance variability
- risk analysis
- VTSM