Edited by: Mariia Kozlova and Julian Scott Yeomans
Published by: Taylor & Francis (2024)
Open Access: https://doi.org/10.4324/9781003453789
License: CC BY-NC-ND 4.0
Simulation Decomposition (SimDec) is a groundbreaking method that makes global sensitivity analysis visual, interpretable, and scalable — no matter what field you work in. This book brings together 13 real-world applications and wraps the entire SimDec ecosystem into one open package for analysts, engineers, policymakers, and students.
- 💻 GitHub: Simulation-Decomposition — open-source packages (Python, R, Julia, Matlab)
- 🧪 SimDec dashboard — no-code analysis in your browser
- 🌐 simdec.fi — project homepage, videos, use cases
- 💬 Join the community on Discord
- Preface – Why This Book and Why SimDec? — Mariia Kozlova, Julian Scott Yeomans
- Foreword – Does It Need to Be This Way? — Andrea Saltelli
- Acknowledgements — Mariia Kozlova, Julian Scott Yeomans
- Chapter 1 – Methodological Landscape of Sensitivity Analysis and the Place of SimDec — Mariia Kozlova, Samuele Lo Piano, Julian Scott Yeomans
- Chapter 2 – SimDec Algorithm and Guidelines for Its Usage and Interpretation — Mariia Kozlova, Robert J. Moss, Pamphile Roy, Abid Alam, Julian Scott Yeomans
- Chapter 3 – Overview of SimDec Applications — Mariia Kozlova, Julian Scott Yeomans
- Chapter 4 – Unlocking Actionability in Financial Modelling — Roman Stepanov, Mariia Kozlova, Julian Scott Yeomans
- Chapter 5 – Public Support for Mitigating Revenue Risk in PPP Projects — Roberta Pellegrino, Mariia Kozlova, Luiz Brandao, Julian Scott Yeomans
- Chapter 6 – Printing Homes: Unit Cost Estimation for Additive Manufacturing — Alexander N. Walzer, Mariia Kozlova, Julian Scott Yeomans
- Chapter 7 – Deep Tech Market Entry Decisions Through the Lens of Uncertainty — Alexander Myers, Mariia Kozlova, Julian Scott Yeomans
- Chapter 8 – Uncertainty in Life Cycle Assessment of COVID-19 Masks — Natalia Vinitskaia, Anna Zaikova, Mariia Kozlova, Julian Scott Yeomans
- Chapter 9 – Model Fidelity Analysis for Sequential Decision-Making Systems Using Simulation Decomposition: Case Study of Critical Mineral Exploration — Robert J. Moss, Mariia Kozlova, Anthony Corso, Jef Caers
- Chapter 10 – Upgrading the Toolbox of Techno-Economic Assessment with SimDec: Power-to-X Case — Hannu Karjunen, Sini-Kaisu Kinnunen, Arto Laari, Antero Tervonen, Petteri Laaksonen, Mariia Kozlova, Julian Scott Yeomans
- Chapter 11 – Capturing Multi-Dimensional Nonlinear Behaviour of a Steel Structure Reliability Model – Global Sensitivity Analysis — Antti Ahola, Mariia Kozlova, Julian Scott Yeomans
- Chapter 12 – Sensitivity Analysis of a Superconducting Magnet Design Model — Manuel García Pérez, Mariia Kozlova, Susana Izquierdo Bermúdez, Juan Carlos Pérez, Julian Scott Yeomans
- Chapter 13 – New Level of Personal Decision-Making: Day-to-Day Choices with SimDec — Anna Sidorenko, Daria Moshkivska, Mariia Kozlova, Julian Scott Yeomans
- Afterword – SimDec Meets SIPmath — Sam L. Savage
- Epilogue – Democratizing Sensitivity Analysis — Mariia Kozlova, Julian Scott Yeomans
“...I find this book extremely useful because it essentially has everything about SimDec in one package... colorful visualization, uncertainty quantification, and a wide spectrum of diverse applications.”
— Xin-She Yang, Middlesex University London, Fellow of the Institute of Mathematics and its Applications (FIMA), UK
“Simulation Decomposition is incredibly powerful... This book provides a simple and accessible guide to understand and apply the technique to practical problems.”
— Leifur Leifsson, School of Aeronautics and Astronautics, Purdue University, USA
“A game-changer in the world of engineering, industry, and finance... Readers gain a thorough understanding of this powerful methodology.”
— Kambiz Vatan-Abadi, Chief Innovation Officer, CI Financial, Canada
“SimDec’s transparency is invaluable to practitioners... Should become the de facto standard for data analysis.”
— Kalyan Moy Gupta, PhD, Founder and VP of Research, Knexus Research, Washington DC, USA
“SimDec produces interpretable graphical representations that support discussion and discovery.”
— Art Owen, Max H. Stein Professor of Statistics, Stanford University, USA
“Essential reading for leaders driving innovation in uncertain times.”
— Anferny Chen, Founder and CEO, Dataraction/DotsLive.Com, Canada
“I regret SimDec didn’t exist earlier in my 30+ year career... straightforward to apply across disciplines.”
— Gordon Huang, Canada Research Chair, University of Regina, Canada
Kozlova, M., & Yeomans, J. S. (Eds.). (2024). Sensitivity analysis for business, technology, and policymaking: Made easy with Simulation Decomposition (SimDec) (402 pages). Taylor & Francis. https://doi.org/10.4324/9781003453789
See LICENSE.md for terms.
All summaries and auxiliary materials © 2025 Mariia Kozlova and Julian Scott Yeomans, shared under CC BY 4.0.
Chapter PDFs are provided under CC BY-NC-ND 4.0.