Introduction to management science: a modeling and case studies approach with spreadsheets

Chapter 1: Introduction
Chapter 2: Linear Programming: Basic Concepts
Chapter 3: Linear Programming: Formulation and Applications
Chapter 4: The Art of Modeling with Spreadsheets
Chapter 5: What-If Analysis for Linear Programming
Chapter 6: Network Optimization Problems
Chapter 7: Using Binary Integer Programming to Deal with Yes-or-No Decisions
Chapter 8: Nonlinear Programming
Chapter 9: Decision Analysis
Chapter 10: Forecasting
Chapter 11: Queueing Models
Chapter 12: Computer Simulation: Basic Concepts
Chapter 13: Computer Simulation with Crystal Ball

The text offers a unique model approach and integrates the use of Excel. Through this approach students are better able to grasp the essential concepts covered in the course and see their utility. Each chapter includes a case study that is meant to show the students a real and interesting application of the topics addressed in that chapter. These cases and related applications cuts across all functional areas of business and show how management science techniques apply in the business environment.

Key Features

The book revolves around a modeling approach, focusing the role of a model, model formulation, and the analysis of model results.
Many chapters use extended case studies illustratively within the body of the chapter, and offer end-of-chapter cases for analysis.
Integrates the new Excel 2007 and its revised user interface (appendices included on using Microsoft Excel and the Solver Table).
Presents several topics, including integer programming, forecasting, and utilities in a simple manner.
Application vignettes and solved problems (with complete solutions spelled out on the CD-ROM) run throughout the book.