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007			cr nn 008mamaa
008			211126s2022 sz | s |||| 0|eng d
020			_a9783030880989
024	7		_a10.1007/978-3-030-88098-9 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aHD61
072		7	_aUR _2bicssc
072		7	_aGPQD _2bicssc
072		7	_aBUS033070 _2bisacsh
072		7	_aUR _2thema
072		7	_aGPQD _2thema
090			_aHD61EBK
100	1		_aParhizkar, Tarannom. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aOnline Probabilistic Risk Assessment of Complex Marine Systems _h[electronic resource] : _bPrinciples, Modelling and Applications / _cby Tarannom Parhizkar, Ingrid B. Utne, Jan-Erik Vinnem.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Reliability Engineering, _x2196-999X
505	0		_aIntroduction -- Analysis of Incidents -- Human, Organization and Technology Interactions -- Human Factor Quantifications -- Dynamic Probabilistic Risk Assessment -- Online Risk Assessment -- Online Risk Assessment to Assist Decision Making in Emergency Situations -- Case Studies -- Review, Discussion and Conclusion.
520			_aThis book proposes a new approach to dynamic and online risk assessment of automated and autonomous marine systems, taking into account different environmental and operational conditions. The book presents lessons learnt from dynamic positioning incidents and accidents, and discusses the challenges of risk assessment of complex systems. The book begins by introducing dynamic and online risk assessment, before presenting automated and autonomous marine systems, as well as numerous dynamic positioning incidents. It then discusses human interactions with technology and explores how to quantify human error. Dynamic probabilistic risk assessment and online risk assessment are both considered fully, including case studies with the application of assisting operators in decision making in emergency situations. Finally, areas for future research are suggested. This practical volume offers tools and methodologies to help operators make better decisions and improve the safety of automated and autonomous marine systems. It provides a guideline for researchers and practitioners to perform dynamic probabilistic and online risk assessment, which also should be applicable to other complex systems outside the marine and maritime domain, such as nuclear power plants, chemical processes, autonomous transport systems, and space shuttles.
650		0	_aRisk management.
650		0	_aOffshore structures.
650		0	_aOperations research.
650	1	4	_aIT Risk Management.
650	2	4	_aOffshore Engineering.
650	2	4	_aOperations Research and Decision Theory.
653		0	_aDecision making
653		0	_aOcean engineering
700	1		_aUtne, Ingrid B. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aVinnem, Jan-Erik. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service)
830		0	_aSpringer Series in Reliability Engineering, _x2196-999X
856	4	0	_uhttps://doi.org/10.1007/978-3-030-88098-9 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK