Management Science Modeling 4th Edition  (English, Paperback, Albright S. Christian)

Easy to understand and to the point, MANAGEMENT SCIENCE MODELING, 4th Edition, uses an active-learning approach and realistic problems to help you understand and take advantage of the power of spreadsheet modeling. With real examples and problems drawn from finance, marketing, and operations research, you will easily come to see how management science applies to your chosen profession and how you can use it on the job. The authors emphasize modeling over algebraic formulations and memorization of particular models. The essentials resource website, whose access is available with every new book, includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, Stat Tools, Precision Tree, Top Rank, RISK Optimizer, Neural Tools, and Evolver); and Solver Table, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2010.

Key Features
• Given its Excel-based approach and application-oriented material, Excel 2010 updates are key to this edition. All Excel applications, problems, and screen shots are updated to reflect Excel 2010.
• The biggest change in Excel 2010 that affects this edition most is the new Solver add-in. Optimization chapters discuss in detail the new Solver enhancements.
• Old chapters 9 (Multi objective Decision Making) and 15 (Project Management) are now offered online, and the balance of chapters have been renumbered accordingly.
• In the first optimization chapter, Chapter 3, the authors replaced the introductory two-variable diet model with a simpler two-variable product mix model. Then they follow it up with a larger version of the same basic product mix model. These revisions should make the introduction to optimization easier for instructors to teach and for students to follow.
• In the regression and forecasting chapter, now numbered Chapter 14, the authors discontinued the use of the Analysis Tool pak and jumped directly into the Palisade Stat Tools add-in.
• The authors have updated and refined examples, cases, and problems. This edition also offers pedagogical tools to help students and instructors. More and better exercises have been added to help students grasp concepts.
• Modeling skills are emphasized through the use of Microsoft Excel and are incorporated throughout the text. The use of spreadsheets allows students of varying mathematical backgrounds to build skills as they work through sophisticated problems.
• Professional add-ins provides students with the most up-to-date tools for solving problems. Now included are Palisade Decision Tools Suite (@RISK, Stat Tools, Precision Tree, Top Rank, RISK Optimizer, Neural Tools, and Evolver) and Solver Table, which allows users to do sensitivity analysis.
• Interdisciplinary examples and problems from finance, marketing, and operations research covering topics such as portfolio selection, options, pricing models, and many others keep student interest at a high level throughout the course.

Table of Contents
1. Introduction to Modeling.
2. Introduction to Spreadsheet Modeling.
3. Introduction to Optimization Modeling.
4. Linear Programming Models.
5. Network Models.
6. Optimization Models with Integer Variables.
7. Nonlinear Optimization Models.
8. Evolutionary Solver: An Alternative Optimization Procedure.
9. Decision Making Under Uncertainty.
10. Introduction to Simulation Modeling.
11. Simulation Models.
12. Inventory Models.
13. Queuing Models.
14. Regression and Forecasting Models.
15. Project Management (Online only).
16. Multi objective Decision Making (Online only).