Reseña del editor:
This modern, applied introduction to the most useful quantitative tools in business emphasizes optimization, simulation and decision analysis. The text introduces real, practical applications in finance, management, and marketing throughout and covers the entire modeling process with the use of spreadsheets. Microsoft Excel instructions are included in each chapter. Hundreds of real problems and case studies are used throughout the text and provide students with valuable exposure to the power of analytical modeling.
Reseña del editor:
This best-seller is based on an award-winning management science course at Indiana University. Intended for undergraduate or MBA courses in management science or quantitative methods with a business statistics prerequisite, the authors' practical spreadsheet approach teaches students to model a wide variety of business problems. Taking full advantage of Excel, Solver, and the add-in enhancements that come with the text, Practical Management Science:
-- Focuses on teaching modeling by introducing the entire modeling process in each text example, including insights that require students to think about the solution
-- Integrates real-world applications from finance and marketing in addition to operations management (Applications include hedging, pricing options, market share analyses, and many more.)
-- Emphasizes building Excel spreadsheet skills that students can take with them into the workplace
-- Eliminates algorithms relying instead on spreadsheet modeling to formulate and solve problems
-- Includes software add-ins for Monte Carlo and queuing simulations (Insight by Sam Savage), decision trees (tree plan by Mike Middleton), and a solver upgrade (Frontline Systems)
-- Offers excellent case studies (developed by Mark Brodie and colleagues at Columbia University) in each chapter.
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