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Anotace knihy

This book integrates for readers three knowledge areas pertaining to risk-based project decision-making: project risk management (PRM), complexity theory, and decision-making under deep uncertainty (DMDU). Overlooking project complexity commonly results in inadequately low project contingencies. The DMDU allows avoid cases of eventual project irrelevance due to ongoing changes in external environment. To avoid both instances of epic project failures, two key methodologies are put forward. To take into account project complexity and playing along risk interactions, a nonlinear Monte Carlo technique is introduced. To monitor external environment, a dynamic adaptive methodology is proposed to adapt to external environment changes and to timely select right project alternatives. Power of game theory is called for to devise robust decision-making criteria. In addition, systems dynamics and cost escalation modelling as well as risk-based & economic-based alternative's selection methodologies are set about. This book will be an eye-opener to many PRM practitioners helping to increase chances of project success by properly handling inescapable project-complexity and deep-uncertainty implications.

Parametry knihy

Zařazení knihy Knihy v angličtině Economics, finance, business & management Business & management Operational research

• Plný název: Risk-Based Project Decisions in Situations of High Complexity and Deep Uncertainty
• Autor: Yuri G. Raydugin
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 243
• EAN: 9783031569876
• ID: 45117018
• Nakladatelství: Springer, Berlin
• Rozměry: 235 × 155 mm
• Datum vydání: 29. July 2024

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