- ホーム
- > 洋書
- > 英文書
- > Business / Economics
Full Description
For courses in Management Science or Decision ModelingA solid foundation in quantitative methods and management scienceThis popular text gives students a genuine foundation in business analytics, quantitative methods, and management science-and how to apply the concepts and techniques in the real world-through a strong emphasis on model building, computer applications, and examples. The authors' approach presents mathematical models, with all of the necessary assumptions, in clear, plain English, and then applies the ensuing solution procedures to example problems along with step-by-step, how-to instructions. In instances in which the mathematical computations are intricate, the details are presented in a manner that ensures flexibility, allowing instructors to omit these sections without interrupting the flow of the material. The use of computer software enables the instructor to focus on the managerial problem and spend less time on the details of the algorithms. Computer output is provided for many examples throughout the text.Teaching and Learning ExperienceThis text provides a solid foundation in quantitative methods and management science. Here's how:Students see clearly how concepts and techniques are used in real organizations.Outstanding in-text features provide reinforcement and ensure understanding.The text's use of software allows instructors to focus on the managerial problem, while spending less time on the mathematical details of the algorithms.
Contents
Chapter 1 Introduction to Quantitative AnalysisChapter 2 Probability Concepts and ApplicationsChapter 3 Decision AnalysisChapter 4 Regression ModelsChapter 5 ForecastingChapter 6 Inventory Control ModelsChapter 7 Linear Programming Models: Graphical and Computer MethodsChapter 8 Linear Programming ApplicationsChapter 9 Transportation, Assignment, and Network ModelsChapter 10 Integer Programming, Goal Programming, and Nonlinear ProgrammingChapter 11 Project ManagementChapter 12 Waiting Lines and Queuing Theory ModelsChapter 13 Simulation ModelingChapter 14 Markov AnalysisChapter 15 Statistical Quality ControlOnline Modules 1 Analytic Hierarchy ProcessOnline Modules 2 Dynamic ProgrammingOnline Modules 3 Decision Theory and the Normal DistributionOnline Modules 4 Game TheoryOnline Modules 5 Mathematical Tools: Determinants and MatricesOnline Modules 6 Calculus-Based OptimizationOnline Modules 7 Linear Programming: The Simplex MethodOnline Modules 8 Transportation, Assignment, and Network Algorithms
