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008 130525s2013 it | s |||| 0|eng d
020 _a9788847052444
_9978-88-470-5244-4
024 7 _a10.1007/978-88-470-5244-4
_2doi
050 4 _aTA169.7
050 4 _aT55-T55.3
050 4 _aTA403.6
072 7 _aTGPR
_2bicssc
072 7 _aTEC032000
_2bisacsh
082 0 4 _a658.56
_223
100 1 _aCaron, Franco.
_eauthor.
245 1 0 _aManaging the Continuum: Certainty, Uncertainty, Unpredictability in Large Engineering Projects
_h[electronic resource] /
_cby Franco Caron.
264 1 _aMilano :
_bSpringer Milan :
_bImprint: Springer,
_c2013.
300 _aVIII, 88 p. 13 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
505 0 _aIntroduction -- Large Engineering Projects Strategy -- Large Engineering Projects - the Oil and Gas Case -- Project Management -- Improving the Forecasting Process in Project Control -- Robustness and Flexibility -- Project Risk Analysis and Management -- Real Options -- Stakeholders as Uncertainty Sources -- Project Organizational Model -- Introduction to Project Risk -- Project Risk Analysis -- Project Risk Management -- Quantitative Analysis of Project Risks -- Conclusions.
520 _aThe brief will describe how to develop a risk analysis applied to a project , through a sequence of steps: risk management planning, risk identification, risk classification, risk assessment, risk quantification, risk response planning, risk monitoring and control, process close out and lessons learning. The project risk analysis and management process will be applied to large engineering projects, in particular related to the oil and gas industry. The brief will address the overall range of possible events affecting the project moving from certainty (project issues) through uncertainty (project risks) to unpredictability (unforeseeable events), considering both negative and positive events. Some quantitative techniques (simulation, event tree, Bayesian inference, etc.) will be used to develop risk quantification. The brief addresses a typical subject in the area of project management, with reference to large engineering projects concerning the realization of large plants and infrastructures. These projects are characterized by a high level of change, uncertainty, complexity and ambiguity. The brief represents an extension of the material developed for the course Project Risk Analysis and Management of the Master in Strategic Project Management (Erasmus Mundus) developed jointly by Politecnico di Milano, Heriot Watt University (Edimburgh) and Umea (Sweden). The brief may be used both in courses addressing project management subjects and by practitioners as a guide for developing an effective project risk management plan.
650 0 _aEngineering.
650 0 _aProject management.
650 0 _aStatistics.
650 0 _aQuality control.
650 0 _aReliability.
650 0 _aIndustrial safety.
650 1 4 _aEngineering.
650 2 4 _aQuality Control, Reliability, Safety and Risk.
650 2 4 _aProject Management.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9788847052437
830 0 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
856 4 0 _uhttp://dx.doi.org/10.1007/978-88-470-5244-4
912 _aZDB-2-ENG
942 _2Dewey Decimal Classification
_ceBooks
999 _c48227
_d48227