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This textbook offers a thorough approach to modeling and optimizing production and supply chain planning problems. It covers topics from basic planning systems to advanced mathematical results, aimed at helping students and non-experts use MIP software effectively. The book includes case studies, exercises, and a problem-solving library for practical application.

Discrete optimization models are used to tackle a wide variety of problems in many fields, including operations research, management science, engineering, and mathematics. Written by two internationally recognized integer programming experts, this book presents the mathematical foundations, theory, and algorithms of discrete optimization methods.