The Science of Decision Making A Problem-Based Introduction Using Excel

Preface.

PART A: INTRODUCTION.

The Science of Decision Making.

Getting Started with Spreadsheets.

PART B: USING LINEAR PROGRAMS.

Analyzing Solutions of Linear Programs.

A Survey of Linear Programs.

Networks.

Integer Programs.

PART C: PROBABILITY FOR DECISION MAKING.

Introduction to Probability Models.

Discrete Random Variables.

Decision Trees and Generalizations.

Utility Theory and Decision Analysis.

Continuous Random Variables.

PART D: STOCHASTIC SYSTEMS.

Inventory.

Markov Chains.

Queueing.

Simulation.

PART E: GAME THEORY.

Game Theory.

PART F: SOLVING LINEAR PROGRAMS.

Solving Linear Equations.

The Simplex Method.

Duality.

Appendix: Note on Excel.

Index.