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Könyv Data Analytics for Engineering and Construction Project Risk Management Ivan Damnjanovic

Data Analytics for Engineering and Construction Project Risk Management

Szerző: Ivan Damnjanovic, Kenneth Reinschmidt
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer Nature Switzerland AG
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
42 499 Ft
This book provides a step-by-step guidance on how to implement analytical methods in project risk ma...

Információk a könyvről

Szerző
Ivan Damnjanovic, Kenneth Reinschmidt
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2019
oldal
379
EAN
9783030142506
Enbook ID
21298386
Kiadó
Springer Nature Switzerland AG
Súly
760
Méretek
242 x 161 x 28

Teljes leírás

This 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 A 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 B, while in Part C the authors present the methods for monitoring and (re)assessment of risks during project execution.

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