Research Areas

We pursue individual, collaborative, and interdisciplinary research that advances scientific knowledge, leads to high-quality publications, and develops practical solutions for industry and society. Our research combines mathematical modeling, optimization, stochastic analysis, simulation, and data-driven methods to address complex problems in production and service systems. The primary research areas of the Department of Industrial Engineering at Özyeğin University include optimization and decision sciences; stochastic modeling and simulation; data science, machine learning, and business analytics; supply chain management, transportation, and logistics; humanitarian and healthcare operations; production systems, planning, and control; and sustainable operations. Specific research topics include the following.

Optimization and Decision Sciences

• Mathematical modeling, integer programming, and combinatorial optimization
• Network optimization and large-scale optimization
• Decomposition algorithms and exact, heuristic, metaheuristic, and hybrid solution methods.
• Stochastic, robust, and data-driven optimization
• Cooperative and non-cooperative game theory
• Optimization algorithms and computational decision-support methods for industrial and service applications. 

Stochastic Modeling and Simulation

• Applied probability, stochastic processes, and Markov decision models
• Stochastic control and performance analysis of production and service systems
• Discrete-event simulation and simulation-based optimization. 
• Monte Carlo and quasi-Monte Carlo methods
• Variance reduction techniques and statistical analysis
• Stochastic modeling and simulation in finance and risk management.

Data Science, Machine Learning, and Business Analytics

• Machine learning, data mining, and predictive modeling
• Data-driven decision-making and the integration of machine learning with optimization. 
• Customer and business analytics, including demand prediction and dynamic pricing.
• Social network analysis and network-based decision models. 
• Financial analytics, fraud detection, and applications in banking and insurance
• Financial technologies, including artificial intelligence and blockchain applications. 

Supply Chain Management, Transportation, and Logistics

• Supply chain and logistics network design, planning, and control
• Transportation and distribution planning
• Inventory management and replenishment planning. 
• Vehicle routing, technician routing and scheduling, and integrated inventory-routing
• Last-mile delivery, shared mobility, and multimodal transportation planning. 
• Supply chain collaboration, coordination, contracting, and outsourcing. 

Humanitarian, Healthcare, and Service Operations

• Design and management of humanitarian relief chains
• Disaster management and humanitarian logistics
• Planning and optimization of nonprofit operations. 
• Healthcare operations and healthcare logistics
• Disease spread modeling and public-health applications. 
• Planning, scheduling, and resource allocation in healthcare and other service systems. 

Production Systems, Planning, and Control

• Design, analysis, and control of production systems
• Production and inventory planning. 
• Flexible manufacturing systems and assembly-system design
• Machine scheduling, resource allocation, and integrated production planning.
• Industrial scheduling and packing applications. 
• Maintenance planning and optimization. 
• Data-driven manufacturing and digital-twin-based decision support.

Sustainable Operations, Energy, and Circular Systems

• Sustainable and energy-efficient manufacturing and transportation
• Energy-system planning, forecasting, and optimization. 
• Circular and closed-loop supply chains
• Product recovery, refurbishment, and remanufacturing
• Production and purchasing decisions in circular systems
• Digital information and decision-support methods for resource-efficient operations and circular value chains.