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Management Science provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business modeling. The authors cover spreadsheet engineering, management science, and the modeling craft. The text is designed to improve modeling efficiency and modeling effectiveness by focusing on the most important tasks and tools.
Table of Contents
CHAPTER 1 INTRODUCTION 1
CHAPTER 2 MODELING IN A PROBLEM-SOLVING FRAMEWORK 15
CHAPTER 3 SPREADSHEET ENGINEERING 49
CHAPTER 4 ANALYSIS USING SPREADSHEETS 71
CHAPTER 5 DATA EXPLORATION AND PREPARATION 89
CHAPTER 6 CLASSIFICATION AND PREDICTION METHODS 117
CHAPTER 7 SHORT-TERM FORECASTING 167
CHAPTER 8 NONLINEAR OPTIMIZATION 187
CHAPTER 9 LINEAR OPTIMIZATION 219
CHAPTER 10 OPTIMIZATION OF NETWORK MODELS 257
CHAPTER 11 INTEGER OPTIMIZATION 289
CHAPTER 12 OPTIMIZATION OF NONSMOOTH MODELS 315
CHAPTER 13 DECISION ANALYSIS 337
CHAPTER 14 MONTE CARLO SIMULATION 363
CHAPTER 15 OPTIMIZATION IN SIMULATION 415
MODELING CASES 443
APPENDIX 1 459
APPENDIX 2 487
APPENDIX 3 495