Key Features

• Scientific Decision-Making – Uses mathematical and analytical methods to support better decision-making in complex systems.
• Optimization Techniques – Focuses on maximizing efficiency or minimizing costs through models like linear programming and dynamic programming.
• Quantitative Analysis – Employs data, statistics, and models to evaluate alternative strategies objectively.
• Simulation and Modeling – Uses computer-based models to analyze real-world operations and predict outcomes.
• Resource Allocation – Helps in optimal utilization of limited resources such as manpower, materials, and machinery.
  Decision Theory – Provides structured approaches for decision-making under certainty, risk, and uncertainty.
  Applications in Business and Industry – Widely used in logistics, production planning, scheduling, transportation, and supply chain management.