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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.
