ISE Introduction to Management Science and Business Analytics: A Modeling and Case Studies Approach with Spreadsheets (Paperback, 7 ed)

PART I. THE ESSENCE OF MANAGEMENT SCIENCE AND BUSINESS ANALYTICS
1. Introduction
2. Overview of the analysis Process

PART II. MODELS FOR PREDICTIVE ANALYTICS
3. Classification and Prediction Models for Predictive Analytics
4. Predictive Analytics Based on Traditional Forecasting Methods

PART III. USING LINEAR PROGRAMMING TO PERFORM PRESCRIPTIVE ANALYTICS
5. Linear Programming: Basic Concepts
6. Linear Programming: Formulation and Applications
7. The Art of Modeling with Spreadsheets
8. What-If Analysis for Linear Programming
9. Network Optimization Problems

PART IV. USING INTEGER OR NONLINEAR PROGRAMMING TO PERFORM PRESCRIPTIVE ANALYTICS
10. Integer Programming
11. Nonlinear Programming

PART V. TRADITIONAL UNCERTAINTY MODELS FOR PERFORMING PREDICTIVE OR PRESCRIPTIVE ANALYTICS
12. Decision Analysis
13. Queueing Models
14. Computer Simulation: Basic Concepts
15. Computer Simulation with Analytic Solver

Appendixes
A. Tips for Using Microsoft Excel for Modeling
B. Partial Answers to Selected Problems