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Extended Summary

Preface – Why This Book and Why SimDec?

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 Preface: 001_Preface.pdf

Why sensitivity analysis needs a reboot

Sensitivity analysis (SA) has long been seen as a specialized, technical task. Traditional approaches require deep expertise and often fail to provide actionable insights to real-world decision-makers. Simulation Decomposition (SimDec) was created to change that: it makes sensitivity analysis visual, accessible, and explainable—without requiring a background in statistics or modeling theory.

Origins of SimDec: from frustration to simplicity

SimDec originated when one of the authors encountered a strangely shaped output distribution and wanted to understand its structure. Through manual trial and error, it became clear that what was needed was a way to visually explore multivariable effects. This led to the core idea of SimDec: use color-coded bins to decompose a simulation output into interpretable components.

What started as “just a coloured histogram” became a visual analytics method that exposes complex variable interactions that would otherwise remain hidden.

From academia to business: making sensitivity analysis usable

As SimDec spread from research into applied settings, a key insight emerged:

Most business users don’t want to tinker with variables—they want quick insight.

To meet that need, SimDec was extended with a simple binning algorithm to compute variable importance automatically. It avoids the heavy mathematical machinery of traditional global sensitivity methods, but delivers intuitive and meaningful results. This makes SimDec suitable for what Andrea Saltelli calls "democratizing sensitivity analysis."

What this book is for

The book is a practical roadmap for using SimDec across diverse domains. It’s designed to:

  • Introduce SimDec to new users
  • Showcase real-world applications
  • Promote reproducible, open-access modeling practices

The 13 chapters include both foundational material and applied case studies from finance, engineering, energy, sustainability, and decision science. Readers are encouraged to explore them in any order, based on interest.

A call to action: participate, adapt, contribute

SimDec isn’t a “spectator sport.” The authors encourage readers to:

  • Apply SimDec to their own data
  • Extend its methods and visualizations
  • Join the growing user community

To make this possible, everything is open:

Attribution

Based on the Preface of Sensitivity Analysis for Business, Technology, and Policymaking: Made Easy with Simulation Decomposition (SimDec)
© Mariia Kozlova and Julian Scott Yeomans, 2024 — CC BY-NC-ND 4.0.
This summary is an independent derivative created for educational and indexing purposes, not affiliated with the original publisher.