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Data Analytics for Engineering and Construction Project Risk Management /

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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 a...

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Bibliographic Details
Main Authors: Damnjanovic, Ivan (Author), Reinschmidt, Kenneth (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Risk, Systems and Decisions,
Subjects:
Building-Superintendence.
Construction industry-Management.
Construction superintendence.
Quality control.
Reliability.
Industrial safety.
Project management.
Construction Management.
Quality Control, Reliability, Safety and Risk.
Project Management.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1.Introduction to Risk and Uncertainty
  • 2.Project Risk Management Framework
  • 3.Project Data
  • 4.Probability Theory Background
  • 5.Project Planning and Estimating
  • 6.Project Monitoring and Control
  • 7.Case Studies and Implementation Framework.