9781265040055 Introduction to Management Science ISE

PART 1 The Essence of Management Science and Business Analytics 1 Introduction 2 Overview of the Analysis Process PART 2 Models for Predictive Analytics 3 Classification and Prediction Models for Predictive Analytics 4 Predictive Analytics Based on Traditional Forecasting Methods PART 3 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 4 Using Integer or Nonlinear Programming to Perform Prescriptive Analytics 10 Integer Programming 11 Nonlinear Programming PART 5 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