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008			230119s2022 sz | s |||| 0|eng d
020			_a9783030880989
024	7		_a10.1007/978-3-030-88098-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTC1650 _b2022 EB
100	1		_aParhizkar, Tarannom _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686039
245	1	0	_aOnline Probabilistic Risk Assessment of Complex Marine Systems : _bPrinciples, Modelling and Applications _cby Tarannom Parhizkar, Ingrid B. Utne, Jan-Erik Vinnem
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIII, 162 páginas) _b90 ilustraciones, 57 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9138953 _aIngeniería naval
650		7	_2embne _9157986 _aGestión del riesgo
700	1		_9686040 _aUtne, Ingrid B. _eautor
700	1		_9671630 _aVinnem, Jan Erik
776	0	8	_iPrinted edition: _z9783030880972
776	0	8	_iPrinted edition: _z9783030880996
776	0	8	_iPrinted edition: _z9783030881009
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org.ezproxy.universidadeuropea.es/10.1007/978-3-030-88098-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI