Author Description

“This book has the potential to do for automated decision-making in business what The Goal did for supply chain management.” — Warren B. Powell, Professor Emeritus, Princeton University Fulcrum Logistics had everything going for it: a beautifully formulated MILP, brilliant data scientists, and the best intentions. Yet every morning began the same way... with a new crisis. Their “optimal” plans collapsed under demand spikes, traffic jams, late arrivals, and a thousand small uncertainties that never showed up in the model. This is the story of how they fixed it. Not by building a better model, but by building a better decision system. The Decision Factory follows a team as they confront a hard truth most organizations learn too late: real operations are not solved once. They are decided again and again, under uncertainty, with imperfect information and real consequences. Through missteps, debates, and hard-earned breakthroughs, the team learns how to move beyond brittle plans toward adaptive policies that actually work in the real world. Along the way, you’ll discover how to: Transform deterministic optimization models into adaptive, state-dependent policies Build simulators that act as laboratories for decision-making under uncertainty Use Monte Carlo methods to measure what truly matters, not just what is easy to optimize Surface tradeoffs instead of burying them inside opaque objective weights Deploy decision systems that hold up when reality refuses to cooperate The Decision Factory teaches sequential decision analytics the way it should be learned: not as abstract theory, but through a story where failures matter as much as successes, and where the lessons stick because you watched them be earned. Whether you are a practitioner, a data scientist, an operations researcher, or a technical leader responsible for real decisions with real consequences, this book will change how you think about optimization, unce