Introduction to Management Science (12TH)

Introduction to Management Science (12TH)

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  • 製本 Hardcover:ハードカバー版/ページ数 837 p.
  • 言語 ENG
  • 商品コード 9780133778847
  • DDC分類 658.5

Full Description


For undergraduate courses in Management Science.A logical, step-by-step approach to complex problem-solvingUsing simple, straightforward examples to present complex mathematical concepts, Introduction to Management Science gives students a strong foundation in how to logically approach decision-making problems. Sample problems are used liberally throughout the text to facilitate the learning process and demonstrate different quantitative techniques. Management Science presents modeling techniques that are used extensively in the business world and provides a useful framework for problem-solving that students can apply in the workplace. The Twelfth Edition focuses on the latest technological advances used by businesses and organizations for solving problems and leverages the latest versions of Excel 2013, Excel QM, TreePlan, Crystal Ball, Microsoft Project 2010, and QM for Windows.

Contents

Preface Management ScienceLinear Programming: Model Formulation and Graphical SolutionLinear Programming: Computer Solution and Sensitivity AnalysisLinear Programming: Modeling ExamplesInteger ProgrammingTransportation, Transshipment, and Assignment ProblemsNetwork Flow ModelsProject ManagementMulticriteria Decision MakingNonlinear ProgrammingProbability and StatisticsDecision AnalysisQueuing AnalysisSimulationForecastingInventory Management Appendix A: Normal and Chi-Square TablesAppendix B: Setting Up and Editing a Spreadsheet Site ModulesAppendix C: The Poisson and Exponential DistributionsSolutions to Selected Odd-Numbered ProblemsGlossaryIndexThe following items can be found on the Companion Website that accompanies this text:Website Modules Module A: The Simplex Solution MethodModule B: Transportation and Assignment Solution MethodsModule C: Integer Programming: The Branch and Bound MethodModule D: Nonlinear Programming Solution TechniquesModule E: Game TheoryModule F: Markov Analysis

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