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Data Analytics for Engineering and Construction Project Risk Management

  • Ivan Damnjanovic
  • Kenneth Reinschmidt
Textbook

Part of the Risk, Systems and Decisions book series (RSD)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 3-22
    3. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 23-41
  3. Risk Assessment in Project Planning

    1. Front Matter
      Pages 43-43
    2. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 81-107
    3. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 109-142
    4. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 143-164
    5. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 165-180
    6. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 181-203
  4. Risk Monitoring and Reassessment in Project Execution

    1. Front Matter
      Pages 205-205
    2. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 207-233
    3. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 235-276
    4. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 277-303
    5. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 305-355
    6. Ivan Damnjanovic, Kenneth Reinschmidt
      Pages 357-371
  5. Back Matter
    Pages 373-379

About this book

Introduction

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.




Keywords

Project Management Risk Assessment Project Risk and Uncertainty Engineering Construction

Authors and affiliations

  • Ivan Damnjanovic
    • 1
  • Kenneth Reinschmidt
    • 2
  1. 1.Texas A&M University College StationUSA
  2. 2.College StationUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-14251-3
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-14250-6
  • Online ISBN 978-3-030-14251-3
  • Series Print ISSN 2626-6717
  • Series Online ISSN 2626-6725
  • Buy this book on publisher's site
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