Description

Introduction to Operations Research provides a comprehensive overview of the principles, methodologies, and applications of operations research (OR) in decision-making and problem-solving within organizations. This textbook explores how OR techniques can be applied to optimize processes, improve efficiency, and make strategic decisions. The book begins by introducing the fundamental concepts and historical evolution of operations research. It covers mathematical modeling, optimization techniques (such as linear programming, integer programming, and nonlinear programming), simulation, queuing theory, and decision analysis. "Introduction to Operations Research" emphasizes the practical application of OR in various fields, including supply chain management, logistics, transportation, finance, healthcare, and engineering. It discusses how OR models and methodologies help in addressing complex decision problems, allocating resources effectively, and enhancing organizational performance. Through examples, case studies, and problem-solving exercises, this textbook illustrates how OR tools and techniques can be used to analyze data, formulate strategies, and make informed decisions. It serves as an essential resource for students, researchers, and practitioners seeking to understand and apply operations research principles to real-world challenges and opportunities.