Introduction to Management Science

Introduction to Management Science shows readers how to approach decision-making problems in a straightforward, logical way.

Management Science; Linear Programming: Model Formulation and Graphical Solution; Linear Programming: Computer Solution and Sensitivity Analysis; Linear Programming: Modeling Examples; Integer Programming; Transportation, Transshipment, and Assignment Problems; Network Flow Models; Project Management; Multicriteria Decision Making; Nonlinear Programming; Probability and Statistics; Decision Analysis; Queuing Analysis; Simulation; Forecasting; Inventory Management

MARKET: This text equips readers with the skills and knowledge they need to solve problems through the use of mathematical models and computer solutions that implement the latest technology. Taylor’s objective was to focus on using simple, straightforward explanations and detailed step-by-step examples that readers would find understandable and easy-to-read.

This widely-adopted introduction to the often mathematically rigorous techniques and applications of management science is designed to make the subject easy to understand, interesting -- and accessible -- for students with limited mathematical background or skills. Taylor focuses on management science not only as a collection of techniques and processes -- but as a philosophy and method for approaching problems in a logical manner -- a skill that is applicable across disciplines and endeavors -- in all types of jobs in all types of organizations. His perspective is contemporary, his approach is "hands-on," and his pedagogy is abundant, supportive, and user-friendly -- for students and instructors alike. Computer usage is interwoven in every chapter, and tutorials are provided in appendices. Comprehensive in coverage and flexible in organization, the text is designed to accommodate a broad range of management science course structures.