Description
This introductory textbook uses a problem-scenario approach to explain both problem formulation and technique applications. Emphasizing quantitative procedures, the chapters cover sensitivity analysis, the simplex method, duality, transportation and transshipment problems, integer linear programming, network models, project scheduling, inventory models, waiting line models, simulation, decision analysis, multi-criteria decisions, forecasting, Markov processes, and dynamic programming. The authors teach at the University of Cincinnati and the Rochester Institute of Technology. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)
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ASW's Introduction to Management Science: A Quantitative Approach to Decision Making provides thorough, application-oriented coverage in a very readable writing style. This is the leading text on the market. Simply put, it's a classic! The problem-scenario approach introduces quantitative procedures through situations that include both problem formulation and technique application. The extensive linear programming coverage includes problem formulation, computer solution, and practical application. The text covers transportation, assignment, and the integer programming extension of linear programming, as well as advanced topics like waiting line models, simulation, and decision analysis. A large selection of problems includes self-test problems with complete solutions and case problems. Excel spreadsheet appendices are included as well.
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