Liebe Besucherinnen und Besucher,
aufgrund unseres Sommerfestes sind wir am 03. September 2026 bis 14 Uhr erreichbar. Am 04. September 2026 sind wir wieder wie gewohnt für Sie da. Vielen Dank für Ihr Verständnis.
Ihr Team von Sack Fachmedien
From Theory to Practice
Buch, Englisch, 405 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 793 g
ISBN: 978-3-030-05251-5
Verlag: Springer
Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work.
The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Geometrie Dynamische Systeme
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Entscheidungstheorie, Sozialwahltheorie
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
Weitere Infos & Material
Chapter 1. Introduction.- Chapter 2. Robust Decision Making (RDM).- Chapter 3. Dynamic Adaptive Planning (DAP).- Chapter 4. Dynamic Adaptive Policy Pathways (DAPP).- Chapter 5. Info-Gap (IG) Decision Theory.- Chapter 6. Engineering Options Analysis (EOA).- Chapter 7. Robust Decision Making (RDM) Applications Water Planning and Climate Policy.- Chapter 8. Dynamic Adaptive Planning (DAP) – The Case of Intelligent Speed Adaptation.- Chapter 9. Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice.- Chapter 10. Info-Gap (IG) Robust Design of a Mechanical Latch.- Chapter 11. Engineering Options Analysis (EOA) – Applications.- Chapter 12. Decision Scaling (DS): Decision Support for Climate Change.- Chapter 13. A Conceptual Model of Planned Adaptation (PA).- Chapter 14. DMDU into Practice: Adaptive Delta Management in The Netherlands.- Chapter 15. Supporting DMDU: A Taxonomy of Approaches and Tools.- Chapter 16. Reflections: DMDU and Public Policy for Uncertain Times.- Chapter 17. Conclusions and Outlook.




