A concise, non-technical introduction to the important principles of management science that introduces the most commonly used models and techniques. Combining text with case studies and emphasizing sensitivity analysis throughout, it introduces students to the practical aspects of decision problems that occur in the management context of a wide variety of fields and disciplines. The book includes many exercises and actual case studies, enabling students to practice formal analyses and understand models in the classroom. Separate chapters are featured on integer programming, forecasting, newsboy analysis and detailed coverage of branch and bound, deterministic simulations and Wagner-Whitin algorithm.