Data, Models, and Decisions (10th Edition)

Author: Anderson (USA)
Publisher:
Publish Date: 2003-07-01
Features: This book is suitable for undergraduate and graduate students in management majors, MBA students, and business management personnel. It concisely introduces the role of management science in decision-making. The author, oriented towards the market, introduces students to the mathematical and technical knowledge of management science. The structure of the book is very well arranged. The structure of the book is very well arranged. First, the introduction part introduces the concepts and methods related to management science; then, starting from the basic linear programming, it introduces the application of linear programming, sensitivity analysis, and the meaning and use 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; then, it introduces the shortest path problem and the maximum flow problem in network models; how to use project evaluation and review technique (PERT) and critical path method (CPM) for project scheduling; how to apply various inventory models and queuing models to solve practical problems; and finally, it also introduces decision tree analysis and relevant knowledge of dynamic programming. The book uses a large number of real-world cases and examples, making readers feel the important position of management science in practical applications.