000 | 03899nam a22005417a 4500 | ||
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001 | sulb-eb0026135 | ||
003 | BD-SySUS | ||
005 | 20160413122610.0 | ||
007 | cr nn 008mamaa | ||
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 |
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999 |
_c48227 _d48227 |