Risk-Based Project Decisions in Situations of High Complexity and Deep Uncertainty (eBook)

eBook Download: PDF
2024
XXVII, 382 Seiten
Springer Nature Switzerland (Verlag)
978-3-031-56988-3 (ISBN)

Lese- und Medienproben

Risk-Based Project Decisions in Situations of High Complexity and Deep Uncertainty - Yuri G. Raydugin
Systemvoraussetzungen
96,29 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

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.



Dr Yuri Raydugin is Principal Consultant of Risk Services & Solution Inc©, a Canadian consulting company. Previously Yuri worked for Saudi Aramco, Royal Dutch Shell, TransCanada Pipelines, and SNC-Lavalin managing risks of a number of projects. He has been involved in risk management of mega and large projects with combined budget exceeding $170B. Depending on project context and challenges, Yuri applies a variety of relevant risk management methods and tools -both traditional and advanced - to properly manage project complexity and deep uncertainty, to facilitate project decision-making and to ensure project success.

Yuri has an engineering degree in nuclear physics from Urals Polytechnics Institute, Russia, a PhD degree in physics and mathematics from Russia's Academy of Sciences, and an MBA degree in business strategy from Henley Management College in England. He is a member of the Association of Professional Engineers and Geoscientists of Alberta (APEGA).

 

Yuri is an author of several articles on project risk management as well as on various aspects of physics. He is the author of 'Modern Risk Quantification in Complex Projects: Non-linear Monte Carlo and System Dynamics Methodologies', Oxford University Press (2020) and 'Project Risk Management: Essential Methods for Project Teams and Decision Makers', John Wiley & Sons (2013) as well as the editor of 'The Handbook of Research on Leveraging Risk and Uncertainties for Effective Project Management', IGI Global (2017). Yuri has been an associate editor of International Journal of Risk and Contingency Management (IJRCM) and a distinguished reviewer of publications for International Journal of Project Management (IJPM).

Born and raised in Ekaterinburg, Russia, Yuri currently lives and works in Calgary, Alberta, Canada.

Erscheint lt. Verlag 6.6.2024
Zusatzinfo XXVII, 382 p. 94 illus., 5 illus. in color.
Sprache englisch
Themenwelt Wirtschaft Allgemeines / Lexika
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte Decision Making under Deep Uncertainty • Dynamic Adaptive Planning • Monte Carlo Method • Project Risk management • Robust Decision Making
ISBN-10 3-031-56988-1 / 3031569881
ISBN-13 978-3-031-56988-3 / 9783031569883
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 13,7 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Praxishandbuch betriebswirtschaftlicher Grundlagen für …

von Andreas Frodl

eBook Download (2024)
Springer Gabler (Verlag)
54,99
Was Führungskräfte von Hunden lernen können

von Melanie Ebert

eBook Download (2023)
Springer Fachmedien Wiesbaden (Verlag)
19,99