Introduction to Management Science, Global Edition

Author:   Bernard Taylor, III ,  Bernard Taylor, III
Publisher:   Pearson Education Limited
Edition:   12th edition
ISBN:  

9781292092911


Pages:   864
Publication Date:   15 October 2015
Replaced By:   9781292263045
Format:   Paperback
Availability:   Available To Order   Availability explained
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Introduction to Management Science, Global Edition


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Author:   Bernard Taylor, III ,  Bernard Taylor, III
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   12th edition
Dimensions:   Width: 20.50cm , Height: 3.00cm , Length: 25.50cm
Weight:   1.340kg
ISBN:  

9781292092911


ISBN 10:   1292092912
Pages:   864
Publication Date:   15 October 2015
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Professional & Vocational
Replaced By:   9781292263045
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Preface Management Science Linear Programming: Model Formulation and Graphical Solution Linear Programming: Computer Solution and Sensitivity Analysis Linear Programming: Modeling Examples Integer Programming Transportation, Transshipment, and Assignment Problems Network Flow Models Project Management Multicriteria Decision Making Nonlinear Programming Probability and Statistics Decision Analysis Queuing Analysis Simulation Forecasting Inventory Management Appendix A: Normal and Chi-Square Tables Appendix B: Setting Up and Editing a Spreadsheet Site Modules Appendix C: The Poisson and Exponential Distributions Solutions to Selected Odd-Numbered Problems Glossary Index The following items can be found on the Companion Website that accompanies this text: Website Modules Module A: The Simplex Solution Method Module B: Transportation and Assignment Solution Methods Module C: Integer Programming: The Branch and Bound Method Module D: Nonlinear Programming Solution Techniques Module E: Game Theory Module F: Markov Analysis

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