Introduction to Management Science / Edition 2

Introduction to Management Science / Edition 2

by Sang M. Lee, David L. Olson
     
 

ISBN-10: 0759314152

ISBN-13: 9780759314153

Pub. Date: 05/28/2003

Publisher: Thomson Learning Custom Publishing

This text's emphasis is on presenting management science in a manner that is managerially focused and easily understood by students. This is done in part by using easy-to-understand examples demonstrating each technique in understandable contexts. The text is application oriented dealing with realistic problems emphasizing model formulation, computer-based

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Overview

This text's emphasis is on presenting management science in a manner that is managerially focused and easily understood by students. This is done in part by using easy-to-understand examples demonstrating each technique in understandable contexts. The text is application oriented dealing with realistic problems emphasizing model formulation, computer-based solutions, and implementation of model results. The text uses models related to managerial application, which are used to demonstrate management science techniques. Techniques are illustrated by examples placed in a decision-making context. Model use is demonstrated by the computer without being tied to specific computer systems. The text presents a comprehensive yet easily readable coverage of all important management science techniques.

Product Details

ISBN-13:
9780759314153
Publisher:
Thomson Learning Custom Publishing
Publication date:
05/28/2003
Edition description:
Older Edition
Pages:
852

Table of Contents

PART I: INTRODUCTION: 1. The Role of Management Science 2. Modeling in Management Science PART II: OPTIMIZATION MODELS: 3. Introduction to Linear Programming 4. Simplex Method of Linear Programming 5. Duality, Sensitivity Analysis, and Computer Solutions of Linear Programming 6. Integer and Zero-one Programming 7. Goal Programming 8. The Transportation Problem 9. The Assignment Problem 10. Network Models 11. Nonlinear Programming PART III: OTHER QUANTITATIVE TECHNIQUES: 12. Project Planning with PERT and CPM 13. Decision Theory 14. Analytic Hierarchy Process 15. Inventory Models 16. Waiting Line (Queuing) Models Appendix: Supplementary Section on Waiting Line Models 17. Dynamic Programming 18. Simulation 19. Forecasting 20. Markov Analysis PART IV: RELATIONSHIP TO INFORMATION SYSTEMS: 21. Management Science Implementation and Decision Support Systems Appendix 1: Poisson Probability Values Appendix 2: Values of ex and eBx Appendix 3: Values of Po for Various Combinations of

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