Authors: Mariia Kozlova and Julian Scott Yeomans
Source: Kozlova, M., & Yeomans, J. S. (Eds.). (2024). Sensitivity Analysis for Business, Technology, and Policymaking: Made Easy with Simulation Decomposition (SimDec). Taylor & Francis. https://doi.org/10.4324/9781003453789
License: CC BY-NC-ND 4.0
📖 Read full Chapter 3: Ch3.pdf
🎥 Watch the chapter presentation: YouTube
🧪 Explore SimDec tools: GitHub organization
📊 Try the dashboard: simdec.io
Chapter 3 provides an overview of all SimDec application cases included in the book, helping the reader:
- Understand the diversity of use cases
- Preview key methodological lessons
- See recurring modeling and sensitivity patterns
It’s both a navigation aid and a meta-analysis of SimDec in practice.
Applications span across business, environment, engineering, and behavioral science domains.
| Chapter | Case Theme | Summary |
|---|---|---|
| Ch4 | Investment decision redesign | How SimDec makes financial models actionable by showing where to intervene. |
| Ch5 | Public support in PPP | Comparing revenue-risk mitigation schemes in public–private partnerships. |
| Ch6 | 3D printing in construction | Estimating unit costs under technological uncertainty and scale effects. |
| Ch7 | Deep tech market entry | How startups choose the right market under extreme uncertainty. |
| Ch8 | Sustainability of masks | LCA of reusable vs. disposable masks with behavior-sensitive variables. |
| Ch9 | Mineral exploration models | When does model fidelity matter in sequential decision-making? |
| Ch10 | Power-to-X economics | Techno-economic analysis of synthetic fuel projects under uncertainty. |
| Ch11 | Structural reliability | Fatigue stress modeling in steel structures using 4R method + SimDec. |
| Ch12 | Magnet design (CERN) | Finite element modeling of high-field magnets with sensitivity insights. |
| Ch13 | Personal decision-making | Everyday decisions (savings, cars, housing) modeled with SimDec. |
Grouped into four categories:
-
Behavioral and personal decision-making:
Ch13
- Ch7: revealed flaws in prioritization logic
- Ch8: exposed unnecessary complexity in LCA assumptions
- Ch12: discovered interactions that challenged engineering intuition
- Ch11: nested effects only visible in decomposition
- Ch5: overlapping influence of policy and project factors
- Ch10: context-dependent sensitivity patterns
- Ch8: decomposed phases of environmental impact
- Ch12: analyzed interdependent physical parameters
- Ch7: zoomed into strategic sub-decisions
This chapter shows that SimDec is:
- Highly adaptable across fields, models, and questions
- Valuable not just for sensitivity, but for insight, communication, and design
- A way to make simulation human-readable and decision-relevant
Based on Chapter 3 of Sensitivity Analysis for Business, Technology, and Policymaking
© Mariia Kozlova and Julian Scott Yeomans, 2024 — CC BY-NC-ND 4.0.
This summary is an independent derivative work created for educational and indexing purposes, not affiliated with the original publisher.