KEY BENEFIT: Easy to understand-even for learners with limited math backgrounds, this book uses a modeling approach to provide thorough coverage of the basic techniques in quantitative methods and focuses on the managerial applications of these techniques. An interesting and reader friendly writing style makes for a clear presentation, complete with all the necessary assumptions and mathematical details.

KEY TOPICS: Chapter topics include probability concepts and applications, decision models and decision trees, regression models, forecasting, inventory control models, linear programming modeling applications and computer analyses, network models, project management, simulation modeling, and more.

MARKET: For an introduction to quantitative analysis, quantitative management, operations research, or management science-especially for those individuals preparing for work in agricultural economics and health care fields.

CHAPTER 2 Probability Concepts and Applications 23

CHAPTER 3 Decision Analysis 69

CHAPTER 4 Regression Models 117

CHAPTER 5 Forecasting 157

CHAPTER 6 Inventory Control Models 199

CHAPTER 7 Linear Programming Models: Graphical and Computer Methods 255

CHAPTER 8 Linear Programming Modeling Applications:With Computer Analyses in Excel and QM for Windows 311

CHAPTER 9 Linear Programming: The Simplex Method 351

CHAPTER 10 Transportation and Assignment Models 409

CHAPTER 11 Integer Programming, Goal Programming, and Nonlinear Programming 469

CHAPTER 12 Network Models 515

CHAPTER 13 Project Management 543

CHAPTER 14 Waiting Lines and Queuing Theory Models 585

CHAPTER 15 Simulation Modeling 625

CHAPTER 16 Markov Analysis 669

CHAPTER 17 Statistical Quality Control 699

CD-ROM MODULES

1 Analytic Hierarchy Process M1-1

2 Dynamic Programming M2-1

3 Decision Theory and the Normal

Distribution M3-1

4 Game Theory M4-1

5 Mathematical Tools: Determinants

and Matrices M5-1

6 Calculus-Based Optimization M6-1