Pub. Date:
McGraw-Hill Companies, The
Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets / Edition 2

Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets / Edition 2

by Frederick S. Hillier, Mark S. Hillier
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Introduction to Management Science, 2e offers a unique case study approach and integrates the use of Excel. 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. This most recent revision has been thoroughly updated to be more "user-friendly" and more technologically advanced. These changes include, a completely new chapter on the art of modeling with spreadsheets. This unique chapter goes far beyond anything found in other textbooks and are based on the award winning methodologies used by Mark Hillier in his own course. The technology package has also been greatly enhanced to include, Crystal Ball 2000 (Professional Edition) a Management Science Online Learning Center, and an Excel add-in called Alver Table for performing sensitivity analysis. Crystal Ball is the most popular Excel add-in for computer simulation and includes OptQuest (an optimizer with simulation) as well as a forecasting module. The Management Science Online Learning Center (website) includes several modules that enable students to interactively explore certain management science techniques in depth. Solver Table is an Excel add-in developed by the author to help perform sensitivity analysis systematically, as well as substantially expanded coverage of computer simulation, including Crystal Ball. We now have two chapters on computer simulation instead of one, where the second chapter features the use of Crystal Ball.all.

Product Details

ISBN-13: 9780071195546
Publisher: McGraw-Hill Companies, The
Publication date: 11/01/2002
Series: The McGraw-Hill/Irwin Series in Operations and Decision Sciences
Product dimensions: 8.50(w) x 10.80(h) x 1.20(d)

Table of Contents

1. Introduction
2. Linear Programming: Basic Concepts
3. The Art of Modeling with spreadsheets
4. Linear Programming: Formulation and Applications
5. What-If Analysis for Linear Programming
6. Transportation and Assignment Problems
7. Network Optimization Problems
8. Project Management with PERT/CPM
9. Integer Programming
10. Nonlinear Programming
11. Goal Programming
12. Decision Analysis
13. Forecasting
14. Queuing Models
15. Computer Simulation: Basic Concepts
16. Computer Simulation with Crystal Ball

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