Data Analytics for Engineering and Construction Project Risk Management PDF
By:Ivan Damnjanovic,Kenneth Reinschmidt
Published on 2020-07-31 by
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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.
This Book was ranked at 34 by Google Books for keyword Risk Management.
Book ID of Data Analytics for Engineering and Construction Project Risk Management's Books is joKpzQEACAAJ, Book which was written byIvan Damnjanovic,Kenneth Reinschmidthave ETAG "XMUw1rAeHcE"
Book which was published by since 2020-07-31 have ISBNs, ISBN 13 Code is 9783030142537 and ISBN 10 Code is 3030142531
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Book which have "396 Pages" is Printed at BOOK under CategoryEngineering
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