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Solution Manual For Introduction to Management Science, 13th Edition By W. Taylor

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Solution Manual For Introduction to Management Science, 13th Edition By Bernard W. Taylor,ISBN-13:9780134731131

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Solution Manual For Introduction to Management Science, 13th Edition By W. Taylor

Solution Manual For Introduction to Management Science, 13th Edition By Bernard W. Taylor,ISBN-13:9780134731131

Overview

Description

For undergraduate courses in management science.

A logical, step-by-step approach to complex problem-solving

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 modeling techniques, students gain a useful framework for problem-solving that they can then apply in the workplace.

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