Facility Location and Allocation: Identifying optimal locations for facilities and allocating resources effectively.

Supply Chain and Logistics: Managing and optimizing the flow of goods, information, and resources across supply chains.

Modeling in Operations Research: Developing and analyzing mathematical models to solve complex problems.

Data Envelopment Analysis: Evaluating the efficiency of decision-making units using mathematical models.

Inverse Optimization: Solving optimization problems by inferring input parameters from observed outcomes.

Combinatorial Optimization: Studying and solving optimization problems involving discrete structures.

Project Management and Scheduling: Planning and scheduling activities to optimize time and resource utilization.

Exact and Metaheuristic Methods: Developing and applying exact algorithms and metaheuristic techniques for optimization.

Simulation-Based Optimization: Using simulation to analyze and optimize complex systems.

Optimization under Uncertainty: Modeling and solving optimization problems while accounting for uncertainty.

Transportation and Network Systems: Analyzing and optimizing transportation systems and communication networks.

Data Science (Data Mining and Statistical Methods): Extracting knowledge and patterns from large-scale data through statistical and data mining techniques.

Multi-Criteria Decision Making and Applications: Designing models and methods to support decision-making with multiple criteria.

Soft Computing Algorithms: Applying nature-inspired algorithms such as neural networks and genetic algorithms.

Applications of Operations Research in Industry and Services: Leveraging operations research methods to improve processes across industries and service sectors.

Risk Management and Decision Analysis: Assessing and managing risks in decision-making processes.

Stochastic Models and Processes: Analyzing systems influenced by randomness and uncertainty.

Game Theory and Its Applications: Studying strategic interactions among decision-makers.

Queueing Models and Theory: Analyzing systems where queues form, such as call centers and service systems.

Social Network Analysis: Investigating the structure and dynamics of social networks using mathematical models.

Financial Models and Investment Optimization: Applying operations research to financial management and investment decision-making.

Energy Management and Optimization of Energy Resources: Optimizing the production, distribution, and consumption of energy using operations research models.

Sustainability Analysis and Environmental Optimization: Modeling and optimizing systems with environmental and sustainability considerations.

Epidemiological Models and Healthcare Optimization: Applying operations research to model disease spread and optimize healthcare systems.

Analysis and Optimization of Production and Service Systems: Enhancing efficiency and effectiveness in production and service systems using operations research models.