Application of NET-HARMS method in combination with RBAT on a MASS system for Hazard Identification & Risk Assessment

Ρούτσης, Δημήτριος; Routsis, Dimitrios

dc.contributor.author	Ρούτσης, Δημήτριος	el
dc.contributor.author	Routsis, Dimitrios	en
dc.date.accessioned	2025-01-07T10:40:01Z
dc.date.available	2025-01-07T10:40:01Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/60618
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.28314
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Mass	en
dc.subject	Autonomy	en
dc.subject	Risk	en
dc.subject	Hazard	en
dc.subject	Net-Harms	en
dc.title	Application of NET-HARMS method in combination with RBAT on a MASS system for Hazard Identification & Risk Assessment	en
heal.type	bachelorThesis
heal.classification	Risk analysis	en
heal.classification	Mass	en
heal.classification	Systems thinking methods	en
heal.language	en
heal.access	campus
heal.recordProvider	ntua	el
heal.publicationDate	2024-07-17
heal.abstract	The shift towards Maritime Autonomous Surface Ships (MASS) is a significant development in the maritime industry, with the potential to enhance efficiency, safety, and environmental sustainability. However, the integration of autonomous systems also presents new challenges and risks, particularly in the absence of empirical data for traditional risk assessment methodologies. This research tackles this problem by utilizing the Net-HARMS method, a systems thinking method that hasn't been previously employed in assessing safety of MASS. To this end, the application of Net-HARMS method on MASS offers a comprehensive and holistic approach to risk assessment, overcoming the limitations of conventional probabilistic models. By constructing a hierarchical task analysis and a task network, our research maps the system's operational framework and explores task interdependencies. The use of a risk mode taxonomy allows for the identification of task-specific and emergent risks, which are then assessed by utilizing the risk matrix of the Risk-Based Assessment Tool (RBAT) developed by DNV, in order to assess the final risk as a function of the effectiveness of each risk mitigation layer and the severity of the identified task consequences. The above-mentioned methodology is applied to a system of autonomous tugboats, which are used for manoeuvring and docking processes of large containerships. The findings from our study provide valuable insights into critical tasks requiring enhanced risk control measures and contribute to the development of safety constraints necessary for the successful implementation of autonomous shipping technologies. By applying the Net-HARMS method to the realm of autonomous ships, our research not only fills a significant gap in maritime risk analysis but also sets a precedent for future studies in this rapidly evolving field.	en
heal.advisorName	Βεντίκος, Νικόλαος	el
heal.committeeMemberName	Ηλιοπούλου, Ελευθερία	el
heal.committeeMemberName	Παπαλάμπρου, Γεώργιος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ναυπηγών Μηχανολόγων Μηχανικών. Τομέας Μελέτης Πλοίου και Θαλάσσιων Μεταφορών	el
heal.academicPublisherID	ntua
heal.numberOfPages	93 σ.	el
heal.fullTextAvailability	false