Practical management science: Spreadsheet modeling and applications

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.