Human Factors in Risk-Based Ship Design Methodology (FAROS)

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Human Factors in Risk-Based Ship Design Methodology (FAROS)
Projektleitung Knud Benedict , Prof. Dr.-Ing. habil., Romanas Puisa (Brookes Bell LLP ,, London) ,
Kürzel
Projektbeginn 01. November 2012
Projektabschluss 30. September 2015
Projektpartner BBL: Brookes Bell LLP, project co-ordinator; AALTO: Aalto-Korkeakoulusaatio; AMC: Alfa Marin Technikh Symvouleytikh Meleton Kai Ergon Epe; CIDTG: Fundacion para o Fomento da Calidade Industrial e o Desenvolvemento Tecnoloxico de Galicia; DBL: Deep Blue SRL; HSW: Hochschule Wismar
„project co-ordinator; AALTO: Aalto-Korkeakoulusaatio; AMC: Alfa Marin Technikh Symvouleytikh Meleton Kai Ergon Epe; CIDTG: Fundacion para o Fomento da Calidade Industrial e o Desenvolvemento Tecnoloxico de Galicia; DBL: Deep Blue SRL; HSW: Hochschule Wismar“ kann nicht als Seitenname in diesem Wiki verwendet werden.
, University of Applied Sciences: Technology, Business and Design; LR: Lloyd's Register EMEA; NAP: Naval Architecture Progress; TLG: Tallink Grupp AS; UCL: University College London; UoS: University of Strathclyde, Glasgow; VTT: Teknologian Tutkimuskeskus VTT
Projektbeteiligte Gerrit Tuschling , Dipl.-Ing. (FH), Mathias Linnenbecker ,
Projektmittel 266.000 €
Mittelgeber EU Projekt im 7. Rahmenprogramm im Call " Human element factors in shipping safety"
Fakultät(en) Fakultät für Ingenieurwissenschaften
Forschungsschwerpunkte(e) Schiffbau und Seeverkehr
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EU Projekt im 7. Rahmenprogramm zur Entwicklung von Risiko-basierten Schiffsentwurf und Testung der Modelle durch Szenarien im Ship Handling und Ship Engine Simulator.

FAROS is a project to develop an approach to incorporate human factors into Risk-Based Design of ships. The project consortium consists of 12 members including industry, academia and research institutes. The rationalised nature of the Risk-Based Design (RBD) methodology will be used to integrate the human element into the ship safety framework and deliver ship concepts (passenger and cargo) that are safe, economic and green. This will be achieved by (1) quantitatively linking global design factors (e.g., ship motions, vibration, noise, general arrangement) to the crew performance failure modes (e.g., fatigue, stress) and (2) optimising multi-disciplinary ship performance using state-of-the-art tools, methods and empirical knowledge.