Biography
Oguz Toragay previously served as an assistant professor of industrial engineering at Lawrence Technological University in Michigan, where he taught graduate-level classes in advanced optimization techniques and applied stochastic optimization, along with undergraduate classes in operations research techniques and statistical methods for process improvement.
Toragay's primary research focuses on applying operations research techniques to real-world challenges, particularly in advanced manufacturing, transportation, logistics, supply chain management and humanitarian operations. He is dedicated to conducting research, mentoring students and publishing articles in peer-reviewed journals.
Research Interests
- Operations research
- Data analytics
- Stochastic processes
- Advanced manufacturing
- Supply chain and logistics
- Optimization under uncertainty
Publications
Mohabbati-Kalejahi, Nasrin, Sepideh Alavi, and Oguz Toragay. "A Mixed-Integer Programming Framework for Drone Routing and Scheduling with Flexible Multiple Visits in Highway Traffic Monitoring." Mathematics 13.15 (2025): 2427. https://doi.org/10.3390/math13152427
Abdollahzadeh, B., Javadi, H., Torağay, O. et al. "The green marine waste collector routing optimization with puma selection-based neighborhood search algorithm." Cluster Computing 28, 80 (2025). https://doi.org/10.1007/s10586-024-04812-w
Toragay, O., Silva, D. F., Vinel, A., “On optimization of lightweight planar frame structures: an evolving ground structure approach,” Structural and Multidisciplinary Optimization 67, 5 (2024). https://doi.org/10.1007/s00158-024-03796-w
Pouya, S., Toragay, O., and Mohammadi, M., “Predicting the Solution Time for Optimization Problems Using Machine Learning.” In International Conference on Optimization, Learning Algorithms and Applications, pp. 450-465. Springer, Cham, (2024). https://doi.org/10.1007/978-3-031-53025-8_31
Mohanta, K. K., Toragay, O., “Enhanced performance evaluation through neutrosophic data envelopment analysis leveraging pentagonal neutrosophic numbers.” Journal of Operational and Strategic Analytics 1, no. 2 (2023): 70-80.
Toragay, O., Pouya, S, “A Monte Carlo simulation approach to the gap-time relationship in solving scheduling problem.” Journal of Turkish Operations Management 7, no. 1 (2023): 1579-1590. https://doi.org/10.56554/jtom.1286288
Toragay, O., Silva, D. F., Vinel, A., Shamsaei N., “Exact Global Optimization of Frame Structures for Additive Manufacturing,” Structural and Multidisciplinary Optimization 65, 97 (2022). https://doi.org/10.1007/s00158-022-03178-0
Toragay, O., Silva, D. F., “Fast Heuristic Approach for Control of Complex Authentication Systems,” Applied Stochastic Models in Business and Industry, Vol: 37, Issue: 4, 2021
Pouya, S., Toragay, O., "A Study on the Gap-Time Relationship in Solving Scheduling Problem," INFORMS Annual Meeting 2023, Phoenix, Arizona
Toragay, O., Silva, D. F., Vinel, A., Shamsaei, N., “Exact Size and Shape Optimization of Additively Manufactured Lightweight Planar Frame Structures with Manufacturability Constraints and Modern Global Optimization Methods,” 14th World Congress of Structural and Multidisciplinary Optimization 2021, Virtual Conference.
Education
- Ph.D., Industrial and Systems Engineering, Auburn University, U.S.A.
- M.Sc., Industrial Engineering, Gazi University, Türkiye
- B.Sc., Applied Mathematics, Khayyam University, Iran