Data, Models, and Decisions (10th Edition): 10th Edition

Author: David R. Anderson
Publisher:
Publish Date: 2003-07-01
Features: The structure of this book is very well-organized. First, it introduces concepts and methods related to management science in the general introduction section. Then, starting from basic linear programming, it covers the applications of linear programming, sensitivity analysis, and the significance of solutions, as well as how to solve linear programming using graphical methods, computers, and the simplex method. It further discusses the solution methods and applications of integer programming problems. Next, it introduces the shortest path problem and the maximal flow problem in network models. It explains how to use Program Evaluation and Review Technique (PERT) and Critical Path Method (CPM) for project scheduling, as well as how to apply various inventory models and queuing models to solve practical problems. Finally, it covers decision tree analysis and relevant knowledge of dynamic programming. The book incorporates numerous real-world cases and examples, helping readers understand the important role of management science in practical applications.