Risk Based Project Decisions in Situations of High Complexity and Deep Uncertainty

This book PDF is perfect for those who love Business & Economics genre, written by Yuri G. Raydugin and published by Springer which was released on 31 May 2024 with total hardcover pages 0. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Risk Based Project Decisions in Situations of High Complexity and Deep Uncertainty books below.

Risk Based Project Decisions in Situations of High Complexity and Deep Uncertainty
Author : Yuri G. Raydugin
File Size : 46,9 Mb
Publisher : Springer
Language : English
Release Date : 31 May 2024
ISBN : 3031569873
Pages : 0 pages
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Risk Based Project Decisions in Situations of High Complexity and Deep Uncertainty by Yuri G. Raydugin Book PDF Summary

This book integrates for readers three areas of knowledge, pertaining to risk-based project decision making: project risk management (PRM), complexity theory, and decision-making under deep uncertainty (DMDU). Readers will appreciate that in practice, too often relevant complexity and uncertainty factors are either ignored or overlooked resulting in epic project failures. The author discusses a variety of methodologies and a decision-tree-type framework to determine why, when and how particular methodologies should be applied to ensure project success. These include nonlinear Monte Carlo techniques, a dynamic adaptive methodology to adapt to external environment changes, game theory for devising robust decision-making criteria, systems dynamics and cost escalation modelling, as well as risk-based & economic-based alternatives selection methodologies. This book will be an eye-opener for many PRM practitioners, helping to increase their chances of project success by properly handling inescapable project-complexity and deep-uncertainty implications in specific contexts.

Risk Based Project Decisions in Situations of High Complexity and Deep Uncertainty

This book integrates for readers three areas of knowledge, pertaining to risk-based project decision making: project risk management (PRM), complexity theory, and decision-making under deep uncertainty (DMDU). Readers will appreciate that in practice, too often relevant complexity and uncertainty factors are either ignored or overlooked resulting in epic project failures.

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