An Introduction to Management Science: Quantitative Approaches to Decision Making

An Introduction to Management Science: Quantitative Approaches to Decision Making by R. Kipp Martin and Thomas A. Williams presents a systematic framework for applying quantitative methods to real-world business problems. The text bridges theory and practice, equipping readers with analytical tools used across operations, finance, supply chain, and strategic planning.

The book combines mathematical foundations with accessible explanations, making it suitable for undergraduate and graduate students as well as professionals seeking to strengthen their analytical capabilities. Each chapter builds methodically through examples and case studies, demonstrating how statistical analysis, linear programming, simulation, and decision modeling translate into concrete business advantage. The accompanying CD provides computational resources and additional problem sets for hands-on practice.

This is a standard reference in business schools and economics programs, valued for its clarity and practical orientation. Rather than abstract theory alone, it shows how to formulate problems, select appropriate methods, and interpret results for decision makers. The quantitative approach covered here applies to inventory optimization, resource allocation, forecasting, and risk assessment - skills that remain foundational across industries.

• Covers linear programming, probability, and decision analysis
• Includes real-world case studies and worked examples
• Accompanied by CD with computational tools and datasets
• Suitable for MBA, graduate, and advanced undergraduate study
• Originally published by Cengage Learning

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