Operations Research is a comprehensive guide to the mathematical modeling and analytical methods used to solve complex decision-making problems. Blending theory with practical application, this book equips readers with the tools to optimize resources, improve processes, and drive strategic success across various sectors. Key Features: Fundamental Concepts: Introduces the scope, history, and significance of operations research in decision science and systems optimization. Linear and Nonlinear Programming: Covers formulation, graphical and simplex methods, duality theory, and sensitivity analysis. Transportation and Assignment Models: Provides step-by-step approaches to solve logistics and allocation problems efficiently. Inventory and Queuing Theory: Explains models for inventory control, waiting lines, and service system optimization. Project Management Techniques: Discusses PERT and CPM for planning, scheduling, and managing time-sensitive operations. Game Theory and Decision Analysis: Explores strategic interaction, risk analysis, and decision-making under uncertainty. Simulation and Dynamic Programming: Includes approaches for modeling complex systems and multi-stage decision processes. Real-World Applications: Features industry case studies and problem sets from manufacturing, logistics, finance, and healthcare.