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Introduction to Management Science, 3e / Edition 3
     

Introduction to Management Science, 3e / Edition 3

by Sang M. Lee, David L. Olson
 

ISBN-10: 0324415990

ISBN-13: 9780324415995

Pub. Date: 07/11/2005

Publisher: Cengage Learning


The purpose of this text is to provide the student with a comprehensive coverage of how management science concepts and approaches can be applied to improve management decision-making. The emphasis is on the translation of mathematical modeling concepts into a presentation that is palatable to the undergraduate student of business with limited mathematical

Overview


The purpose of this text is to provide the student with a comprehensive coverage of how management science concepts and approaches can be applied to improve management decision-making. The emphasis is on the translation of mathematical modeling concepts into a presentation that is palatable to the undergraduate student of business with limited mathematical background. Manage¬ment science topics are introduced by presenting realistic, practical examples in the form of small case studies. Difficult techniques are presented within the framework of working examples, stressing an intuitive understanding of concepts in the decision support perspective rather than focusing on mathematical techniques for their own sake.

Product Details

ISBN-13:
9780324415995
Publisher:
Cengage Learning
Publication date:
07/11/2005
Edition description:
New Edition
Pages:
828
Product dimensions:
8.40(w) x 10.70(h) x 1.30(d)

Table of Contents


Part 1 Introduction Chapter 1: The Role of Management Science Chapter 2: Modeling in Management Science Part 2 Optimization Models Chapter 3: Introduction to Linear Programming Chapter 4: Simplex Method of Linear Programming Chapter 5: Duality, Sensitivity Analysis, and Computer Solutions of Linear Programming Chapter 6: Integer and Zero-one Programming Chapter 7: Goal Programming Chapter 8: The Transportation Problem Chapter 9: The Assignment Problem Chapter 10: Network Models Chapter 11:Nonlinear Programming Part 3 Other Quantitative Techniques Chapter 12: Project Planning with PERT and CPM Chapter 13: Decision Theory Chapter 14: Analytic Hierarchy Process Chapter 15: Inventory Models Chapter 16: Waiting Line (Queuing) Models Chapter 17: Dynamic Programming Chapter 18: Simulation Chapter 19: Forecasting Chapter 20: Markov Analysis Part 4 Relationship to Information Systems Chapter 21:Management Science Implementation and Decision Support Systems Appendix 1: Poisson Probability Values Appendix 2: Values of e x and e -x Appendix 3: Values of Po for Various Combinations of Appendix 4: Area Under the Standard Normal Curve Appendix 5: Table of Random Numbers Author Index Topic Index

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