| 000 | 03688nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-14251-3 | ||
| 003 | DE-He213 | ||
| 005 | 20220801213641.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 190523s2020 sz | s |||| 0|eng d | ||
| 020 |
_a9783030142513 _9978-3-030-14251-3 |
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| 024 | 7 |
_a10.1007/978-3-030-14251-3 _2doi |
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| 050 | 4 | _aTH438-438.4 | |
| 072 | 7 |
_aTN _2bicssc |
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| 072 | 7 |
_aKJM _2bicssc |
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| 072 | 7 |
_aTEC005000 _2bisacsh |
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| 072 | 7 |
_aTNT _2thema |
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| 082 | 0 | 4 |
_a690.06 _223 |
| 100 | 1 |
_aDamnjanovic, Ivan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933442 |
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| 245 | 1 | 0 |
_aData Analytics for Engineering and Construction Project Risk Management _h[electronic resource] / _cby Ivan Damnjanovic, Kenneth Reinschmidt. |
| 250 | _a1st ed. 2020. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
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| 300 |
_aXV, 379 p. 112 illus., 108 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aRisk, Systems and Decisions, _x2626-6725 |
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| 505 | 0 | _a1.Introduction to Risk and Uncertainty -- 2.Project Risk Management Framework -- 3.Project Data -- 4.Probability Theory Background -- 5.Project Planning and Estimating -- 6.Project Monitoring and Control -- 7.Case Studies and Implementation Framework. | |
| 520 | _aThis book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve, and/or simplify corporate project management processes. The book places emphasis on building data-driven models for additive-incremental risks, where data can be collected on project sites, assembled from queries of corporate databases, and/or generated using procedures for eliciting experts’ judgments. While the presented models are mathematically inspired, they are nothing beyond what an engineering graduate is expected to know: some algebra, a little calculus, a little statistics, and, especially, undergraduate-level understanding of the probability theory. The book is organized in three parts and fourteen chapters. In Part I the authors provide the general introduction to risk and uncertainty analysis applied to engineering construction projects. The basic formulations and the methods for risk assessment used during project planning phase are discussed in Part II, while in Part III the authors present the methods for monitoring and (re)assessment of risks during project execution. | ||
| 650 | 0 |
_aConstruction industry—Management. _933443 |
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| 650 | 0 |
_aSecurity systems. _931879 |
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| 650 | 0 |
_aProject management. _93328 |
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| 650 | 1 | 4 |
_aConstruction Management. _933444 |
| 650 | 2 | 4 |
_aSecurity Science and Technology. _931884 |
| 650 | 2 | 4 |
_aProject Management. _93328 |
| 700 | 1 |
_aReinschmidt, Kenneth. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933445 |
|
| 710 | 2 |
_aSpringerLink (Online service) _933446 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030142506 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030142520 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030142537 |
| 830 | 0 |
_aRisk, Systems and Decisions, _x2626-6725 _933447 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-14251-3 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c75439 _d75439 |
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