Bayesian network modelling of port state control inspections

Μπαστούλης, Αντώνιος; Bastoulis, Antonios

dc.contributor.author	Μπαστούλης, Αντώνιος	el
dc.contributor.author	Bastoulis, Antonios	en
dc.date.accessioned	2020-11-10T10:13:08Z
dc.date.available	2020-11-10T10:13:08Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/51869
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.19567
dc.description	Thesis to obtain the Master Degree inNaval Architecture and OceanEngineering
dc.rights	Αναφορά Δημιουργού - Μη Εμπορική Χρήση - Παρόμοια Διανομή 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/gr/	*
dc.subject	Port state control	en
dc.subject	Ship risk profile	en
dc.subject	Inspection data	en
dc.subject	Bayesian network	en
dc.subject	Risk factors	en
dc.title	Bayesian network modelling of port state control inspections	en
heal.type	MasterThesis
heal.classification	Μαθηματικά	el
heal.classification	Ρίσκο	el
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2019-07-10
heal.abstract	The Port State Control (PSC) regimes have been developed after several important maritime accidents allowing countries to inspect foreign-registered ships in port other than those of the flag state and take action against ships that are not in compliance with international rules. In the present research, the risk influencing factors adopted in the definition of the Ship Risk Profile used for selecting ships for inspections under the New Inspection Regime of the Paris Memorandum of Understanding (MoU) on Port the State Control are characterized. Moreover, the PSC inspections at two ports, Thessaloniki and Liverpool ports, are analyzed in terms of type and age of ships and other factors influencing the ships’ risk. In addition, the results of inspections in terms of detentions and number and type of deficiencies found at the two ports are analyzed. Finally, four Bayesian network models are developed using the data from Port State Control inspections. Two models are used to analyze the Thessaloniki port and two models the Liverpool port. The first two Bayesian network models, one for each port, are used to assess how risk factors such as the flag, the age, the recognized organization among others, influence the number of deficiencies and the detention of the ship. The other two models focus on the categories of deficiencies and how the risk factors influence specific deficiencies.	en
heal.advisorName	Teixeira, Ângelo Manuel Palos
heal.committeeMemberName	Teixeira, Ângelo Manuel Palos	en
heal.committeeMemberName	Antão, Pedro Manuel de Araújo	en
heal.committeeMemberName	Guedes Soares, Carlos António Pancada	en
heal.academicPublisher	Σχολή Ναυπηγών Μηχανολόγων Μηχανικών	el
heal.academicPublisherID	ntua
heal.numberOfPages	94 σ.	el
heal.fullTextAvailability	false