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Published by Pearson (July 29, 2024) © 2024

Bernard Taylor
    Pearson eTextbook (1825 Days access)
    €49,99
    ISBN-13: 9781292476728

    Introduction to Management Science, Global Edition -- Pearson eText (OLP) 5Yr Subscription ,13th edition

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    Language: English

    Product Information

    Introduction to Management Science gives students a strong foundation in how to make decisions and solve complex problems using both quantitative methods and software tools. In addition to extensive examples, problem sets, and cases, the 13th Edition incorporates Excel 2016 and other software resources, developing students’ ability to leverage the technology they will use throughout their careers. By practicing these modelling techniques, students gain a useful framework for problem-solving that they can then apply in the workplace.

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    Download the detailed table of contents

     

    1. Management Science 

    2. Linear Programming: Model Formulation and Graphical Solution 

    3. Linear Programming: Computer Solution and Sensitivity Analysis 

    4. Linear Programming: Modeling Examples 

    5. Integer Programming 

    6. Transportation, Transshipment, and Assignment Problems 

    7. Network Flow Models 

    8. Project Management 

    9. Multicriteria Decision Making 

    10. Nonlinear Programming 

    11. Probability and Statistics 

    12. Decision Analysis 

    13. Queuing Analysis 

    14. Simulation 

    15. Forecasting 

    16. Inventory Management

    Appendix A: Normal and Chi-Square Tables 

    Appendix B: Setting Up and Editing a Spreadsheet 

    Appendix C: The Poisson and Exponential Distributions 

     

    Solutions to Selected Odd-Numbered Problems 

     

    The following items can be found on the companion website that accompanies this text:

    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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