Data Analytics for Engineering and Construction Project Risk Management

Data Analytics for Engineering and Construction Project Risk Management
Author :
Publisher : Springer
Total Pages : 382
Release :
ISBN-10 : 9783030142513
ISBN-13 : 3030142515
Rating : 4/5 (13 Downloads)

Book Synopsis Data Analytics for Engineering and Construction Project Risk Management by : Ivan Damnjanovic

Download or read book Data Analytics for Engineering and Construction Project Risk Management written by Ivan Damnjanovic and published by Springer. This book was released on 2019-05-23 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Data Analytics for Engineering and Construction Project Risk Management Related Books

Data Analytics for Engineering and Construction Project Risk Management
Language: en
Pages: 382
Authors: Ivan Damnjanovic
Categories: Technology & Engineering
Type: BOOK - Published: 2019-05-23 - Publisher: Springer

DOWNLOAD EBOOK

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 constru
Risk Management and Construction
Language: en
Pages: 228
Authors: Roger Flanagan
Categories: Technology & Engineering
Type: BOOK - Published: 1993-08-20 - Publisher: Wiley-Blackwell

DOWNLOAD EBOOK

The construction industry is subject to more risk and uncertainty than perhaps any other industry. Yet, surprisingly, managerial techniques used to identify, an
Foundations of Data Science for Engineering Problem Solving
Language: en
Pages: 125
Authors: Parikshit Narendra Mahalle
Categories: Technology & Engineering
Type: BOOK - Published: 2021-08-21 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in
Modern Management Based on Big Data II and Machine Learning and Intelligent Systems III
Language: en
Pages: 738
Authors: A.J. Tallón-Ballesteros
Categories: Computers
Type: BOOK - Published: 2021-12-03 - Publisher: IOS Press

DOWNLOAD EBOOK

It is data that guides the path of applications, and Big Data technologies are enabling new paths which can deal with information in a reasonable time to arrive
Recent Trends in Construction Technology and Management
Language: en
Pages: 1290
Authors: M. S. Ranadive
Categories: Technology & Engineering
Type: BOOK - Published: 2022-09-27 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book presents the select proceedings of the International Conference on Advances in Construction Technology and Management (ACTM 2021) and explores recent