Introduction to Management Science, Global Edition

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