Books

(latest books shown first)

  • Bridging Decision Problems, Volume I: Framing the Problem by Warren B. Powell, 2026

    Bridging Decision Problems is being planned as a series of monographs on the process of modeling decision problems and implementing the results. Volume I addresses the first step, framing the problem, which involves answering a series of questions in English that form the basis of a mathematical model that can be implemented on the computer. This first step in modeling decision problems needs to start in English. You can download it from teh above link for free and it has only 150 pages without any math!

    • The Decision Factory: A Novel about Decisions Under Uncertainty by Adam DeJans Jr,  John Elam, 2026

      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, uncertainty, and what it really means to make good decisions at scale.

    • The MILP Optimization Handbook for Practitioners by Adam DeJans Jr, 2025

    Real-world modeling techniques. No fluff. No proofs. Just practical optimization. Decision Optimization is one of the most powerful tools for turning messy, complex decisions into clear, structured plans. But most people struggle to connect the theory they’ve seen in class with the models they actually need to build. This book is designed for professionals who want to build effective, efficient, and production-ready optimization models without getting lost in algorithms or academic abstractions.

    This book describes how to develop Operational Decision Services using OpenRules Decision Intelligence Platform. The book consists of a series of dialog sessions in which an AUTHOR explains the major concepts, a READER asks questions, and together they build the working decision models. You will learn how to apply Business Rules, Machine Learning, and Optimization tools to build your domain-specific decision models.

    Written by two decision modeling experts, this book addresses why, when and how to model decisions using the Decision Model and Notation (DMN)standard v. 1.5

    Case management is a branch of business process management dealing with unstructured and event-driven processes. CMMN is a business-oriented diagramming language standard for creating case models. This book shows how to use CMMN to create case models in which the logic is both clear from the printed diagrams and executable on a business automation platform.

    This book is for governance, risk and compliance managers, regulators and policy makers, legal staff, knowledge managers, product designers, and training managers – and the analysts, architects, data scientists, and software professionals who support business transformations.

    Digital Decisioning unlocks the business value of AI. This book is based on dozens of successful projects around the world. It is a practical how-to guide, aimed at managers, not technical teams, and it will focus your efforts to apply machine learning and AI. It includes many real stories of real implementations, real companies, showing what can be done with Digital Decisioning.

    This is a practical guide that describes how to apply a goal-oriented approach to build real-world business decision models using only MS Excel and OpenRules. This guide is oriented to subject matter experts giving them a practical while simple methodological approach and supporting open-source software to build their own decision models. 

    This book guides business users through the use of DMN 1.2, including creation of Decision Requirements Diagrams, decision tables, basic FEEL expressions, and invocation of more complex logic expressions created by others.

    DMN Cookbook explains how the DMN language works and how it differs from traditional rule languages.  It goes on to provide over 50 recipes illustrating DMN solutions to common problems facing decision logic developers, from manipulating strings, numbers, date/times, and lists to table queries and joins, iteration, recursion, and set operations.

    The guide is oriented to people who want to learn how to build operational  decision models. It is based on the DMN Standard and uses OpenRules to represent and execute different decision models. The book is accompanied by the software that allows you to open, and analyze, and execute all decision models discussed in this book and create your own decision models.

    Written by two decision modeling experts, this book addresses why, when and how to model decisions using the Decision Model and Notation (DMN), a new open standard for representing business decisions

    This IBM Redbook describes the latest insights of IBM Operational Decision Manager Advanced.

    This book focuses on the best practices in decision and process modeling. A number of these best practices have emerged, creating robust, agile, and traceable solutions. Decision management and decision modeling are critical, allowing for simpler, smarter, and more agile processes.

    This book describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions.

    This book provides a robust framework to help business analysts identify business solutions to business problems.

    This book describes a Business Logic Framework for Linking Business and Technology using “The Decision Model” (TDM)  methodology.

    “This book shows how to use proven technology to make business processes smarter. It clearly makes the case that organizations need to optimize their operational decisions. It is a must-have reference for process professionals throughout your organization.” Jim Sinur

    This is not a book about specific technologies. It offers readers a systematic approach to domain-driven design, presenting an extensive set of design best practices, experience-based techniques, and fundamental principles that facilitate the development of software projects facing complex domains. Intertwining design and development practice, this book incorporates numerous examples based on actual projects to illustrate the application of domain-driven design to real-world software development.

    This book explains how to formalize the dynamic behavior and interaction of objects using state models, and how then to derive the system’s required operations from the action of the state models.

    This book presents semantic modeling of data as a technique for systems analysis

Leave a comment