Academic Journal
Ship-to-Ship Collision Analyses Based on Functional Resonance Analysis Method
العنوان: | Ship-to-Ship Collision Analyses Based on Functional Resonance Analysis Method |
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المؤلفون: | I Gde Manik Sukanegara Adhita, Masao Furusho |
المصدر: | Journal of Eta Maritime Science, Vol 9, Iss 2, Pp 102-109 (2021) |
بيانات النشر: | Galenos Publishing House, 2021. |
سنة النشر: | 2021 |
المجموعة: | LCC:Naval architecture. Shipbuilding. Marine engineering |
مصطلحات موضوعية: | functional resonance analysis method, human reliability, safety-ii, ship-to-ship collision, maritime accident, Naval architecture. Shipbuilding. Marine engineering, VM1-989 |
الوصف: | This paper discusses the role of human performance variability in ship-to-ship collisions. Accordingly, an analysis was carried out based on the functional resonance analysis method (FRAM). A ship-to-ship collision report from Indonesia was used to generate the FRAM model for ship-ship encounters. This model was formed using six functions: maneuvering, watchkeeping, bridge communication, bridge-to-bridge communication, bridge-to-port communication, and engine control. Using FRAM, the cause of the collision accident can be determined based on the results of this analysis. This study emphasizes that the emergence of unwanted outcomes results from the unique interaction of the unexpected variability performance of functions between two ships during encounter situations. The resonance phenomenon explained how this unique interaction amplifies the effect of ship operation, performance variability. The use of FRAM could elucidate the complexity in ship operation and provide a more in-depth analysis for ship-to-ship collision accidents. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2147-2955 2148-9386 |
Relation: | https://jemsjournal.org/jvi.aspx?pdir=jems&plng=eng&un=JEMS-43660&look4=; https://doaj.org/toc/2147-2955; https://doaj.org/toc/2148-9386 |
DOI: | 10.4274/jems.2021.43660 |
URL الوصول: | https://doaj.org/article/9ae3ae01a1c34418b6afe8240ce1688d |
رقم الانضمام: | edsdoj.9ae3ae01a1c34418b6afe8240ce1688d |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 21472955 21489386 |
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DOI: | 10.4274/jems.2021.43660 |