Show simple item record

dc.contributor.authorViran, Adem
dc.contributor.authorMentes, Ayhan
dc.date.accessioned2024-04-24T22:45:27Z
dc.date.available2024-04-24T22:45:27Z
dc.date.copyright10/19/2023 12:00:00 AM
dc.date.issued2023
dc.identifier.issn2332-9017
dc.identifier.otherrisk_010_02_021201.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295817
dc.description.abstractThis 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.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleRisk Approach Based on the FRAM Model for Vessel Traffic Management
dc.typeJournal Paper
dc.journal.volume10
dc.journal.issue2
dc.journal.titleASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
dc.identifier.doi10.1115/1.4063594
dc.journal.fristpage21201-1
dc.journal.lastpage21201-12
dc.page12
dc.treeASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2023:;volume( 010 ):;issue: 002
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record