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Decision Intelligence in Action

The definitive guide to operations research, optimization techniques, and strategic decision-making. From linear programming to simulation, master the quantitative methods that drive modern business intelligence.

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Pages
1,600+
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Decision Intelligence in Action - by Allen Ralford Barkley
About the Book

A Comprehensive Guide to Decision Science

Decision Intelligence in Action is a monumental 1,600+ page resource that bridges the gap between operations research theory and real-world business application. Whether you are a student, practitioner, or executive, this book equips you with the quantitative tools and strategic frameworks needed to make optimal decisions in complex environments.

Spanning linear programming, integer optimization, network models, game theory, queuing systems, simulation methods, and supply chain optimization, each chapter combines rigorous mathematical foundations with practical case studies drawn from manufacturing, logistics, finance, and technology.

This is not a textbook that sits on a shelf. It is a working reference designed to be used daily by professionals who need to optimize intelligently and act precisely.

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What You'll Master

Core Topics Covered

Linear & Integer Programming
Simplex method, duality theory, sensitivity analysis, branch-and-bound, and mixed-integer formulations for real-world optimization.
Network Optimization
Shortest path, maximum flow, minimum spanning tree, transportation and assignment problems with industry applications.
Decision Analysis
Decision trees, Bayesian analysis, utility theory, multi-criteria decision making, and risk assessment frameworks.
Game Theory
Zero-sum games, Nash equilibrium, cooperative games, and strategic decision-making in competitive business environments.
Queuing Theory
M/M/1, M/M/c, M/G/1 models, service system design, waiting time analysis, and capacity planning applications.
Supply Chain Optimization
Inventory models, demand forecasting, logistics network design, vehicle routing, and end-to-end supply chain strategies.
Table of Contents

Chapter Overview

  • 1Introduction to Operations Research & Decision Intelligence
  • 2Linear Programming & The Simplex Method
  • 3Integer & Mixed-Integer Programming
  • 4Network Models & Optimization
  • 5Decision Analysis Under Uncertainty
  • 6Game Theory for Business Strategy
  • 7Queuing Models & Service Systems
  • 8Simulation & Monte Carlo Methods
  • 9Supply Chain & Logistics Optimization
  • 10Advanced Topics & Emerging Methods
  • 11Industry Case Studies & Applications
AB
About the Author

Allen Ralford Barkley

Operations Research & Decision Science

Expert in operations research, supply chain optimization, and business strategy. With years of industry experience and academic expertise, Allen brings practical insights that bridge the gap between theory and real-world application. His work spans manufacturing, logistics, energy, and technology sectors, helping organizations make data-driven decisions that deliver measurable results.

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Get instant access to 1,600+ pages of operations research knowledge, practical frameworks, and real-world case studies.

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