Data Analytics for Engineering and Construction Project Risk Management (Paperback, 1st ed. 2020)

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 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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Risk, Systems and Decisions
Release date:	July 2020
First published:	2020
Authors:	Ivan Damnjanovic • Kenneth Reinschmidt
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	379
Edition:	1st ed. 2020
ISBN-13:	978-3-03-014253-7
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Project management Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Professional & Technical > Civil engineering, surveying & building > Building skills > General
LSN:	3-03-014253-1
Barcode:	9783030142537

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