Titlebook: Risk-Based Project Decisions in Situations of High Complexity and Deep Uncertainty; Yuri G. Raydugin Book 2024 The Editor(s) (if applicabl

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Risk-Based and Economic-Based Alternative’s Selection (RBEBAS)ives. The selection bridges the gap between project business case and development of project scope that answers the business case. (It is presumed that the business case is robust enough to adequately answer the predicted project external environment.).The risk-based and economic-based alternative’s

Lament

Cost-Escalation and Exchange-Rate Volatility Modellingestimation of separate cost contingency funds. Three major modelling approaches are told apart for the evaluation of cost escalation contingency: general inflation (GI), project cost structure (PCS) and project cash flow (PCF) modelling. (The exchange-rate volatility estimate, despite being a separa

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Dynamic Adaptive System (DAS) methodology comprises several known deep-uncertainty handling methods to answer the capital project context. It is realized as a dynamic adaptive system (DAS), in which three components—framework (context and requirement), a DAS process and tools—are introduced in this chapter..Most of cornerstone

instructive

Preliminary Conclusionsby mountains forming the actual PRM landscape”. It showcases a “PRM journey diary” describing several stops following the “PRM roadmap” drawn at the beginning of the book. Hence, this journey is a trip from foothills to mountains having a top summit as a final destination. The journey is featured by

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Book 2024y 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 f

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of PRM, project complexity and DMDU methodologies, their in.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

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