Introduction to Management ScienceThis best-selling introduction to the techniques and applications of management science is designed to make the subject easy to understand, interesting, and accessible for readers with limited mathematical background or skills. The book focuses on management science not only as a collection of techniques and processes, but as a philosophy and method for approaching problems in a logical manner.KEY TOPICS: Following a Òbegin-from-the-basicsÓ approach for all topics, this book provides comprehensive coverage and flexible organization but does not assume an understanding of the mathematical underpinnings of any topic on the part of the reader. Each short, easy-to-read chapter centers around simple, straightforward examples that demonstrate the fundamentals of the techniques and provide specific solution steps that can be applied to other situations. Demonstrates how management science techniques can improve efficiency and save money. It also interweaves computer usage throughout every chapter. The sixth edition of Introduction to Management Science has been revised to reflect the most up-to-date practices and techniques. It now includes a revised discussion on the modeling process and new discussions the Analytical Hierarchy Procedure (AHP) and Multiple Regression. It also includes Excel Spreadsheet Solutions, including Excel QM, Crystal Ball software, and TreePlan software. An essential reference book for every professional manager.ÿ |
Contents
Integer Programming | 5 |
The Excel QM Macro for Spreadsheets | 14 |
Management Science Models in Decision Support | 20 |
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activity amount Arial Beaver Creek Pottery bowls cell chapter Computer Solution Creek Pottery Company customers d₁ Data Window Help decision variables demand developed Edit View Insert equation estimates Excel QM Excel spreadsheet expected value exponential smoothing feasible solution area File Edit View forecast Format Tools Data Formulate a linear goal programming graphical increase Insert Format Tools integer programming inventory investment linear programming model Management Science Application mathematical maximize Z maximum menu Microsoft Excel minimize model constraints month mugs node nonlinear programming objective function operating pounds probability distribution production purchase QM for Windows queuing random numbers requires result s₁ S₂ sell sensitivity ranges shadow price shown in Exhibit simulation slack variables solution point Solve this model spreadsheet surplus variable Table techniques Tools Data Window total cost variable cost View Insert Format week x₁ x₂