Melda Ormeci Matoglu’s research interests span both fields of optimization and stochastic control while her work runs the gamut from theoretical problems dealing with optimal stochastic control of Brownian motion to practical work with companies. Her work on supply chain problems vary from a transatlantic supply chain to a point of fit in the production line. Her work has been awarded second place in the George B. Dantzig Dissertation Award by INFORMS in 2006.
Her research is published in Operations Research, Stochastic Systems, Annals of Operations Research, Journal of Operational Research, Applied Probability. Prior to joining the Peter T. Paul College, Professor Ormeci Matoglu was Assistant Professor at Ozyegin University, Turkey, and Research Engineer at Georgia Institute of Technology.
Ph.D., Industrial and Systems Engineering, Georgia Institute of Technology
M.S., Industrial and Systems Engineering, Georgia Institute of Technology
B.S., Industrial Engineering, Bogazici University
ADMN 580: Quantitative Decision Making
ADMN 940: Managing Operations
Matoglu, M. O., Vate, J. H. V., & Yu, H. (2019). The economic average cost Brownian control problem. Advances in Applied Probability, 51(01), 300-337. doi:10.1017/apr.2019.12
Özener, O. Ö., Örmeci Matoğlu, M., Erdoğan, G., Haouari, M., & Sözer, H. (2017). Solving a large-scale integrated fleet assignment and crew pairing problem. Annals of Operations Research, 253(1), 477-500. doi:10.1007/s10479-016-2319-9
Erdoğan, G., Haouari, M., Matoglu, M. Ö., & Özener, O. Ö. (2015). Solving a large-scale crew pairing problem. Journal of the Operational Research Society, 66(10), 1742-1754. doi:10.1057/jors.2015.2
Ormeci Matoglu, M., Vande Vate, J., & Wang, H. (2015). Solving the drift control problem. Stochastic Systems, 5(2), 324-371. doi:10.1214/12-ssy087
Ormeci Matoglu, M., & Vande Vate, J. (2011). Drift Control with Changeover Costs. Operations Research, 59(2), 427-439. doi:10.1287/opre.1100.0868
Ormeci, M., Dai, J. G., & Vate, J. V. (2008). Impulse Control of Brownian Motion: The Constrained Average Cost Case. Operations Research, 56(3), 618-629. doi:10.1287/opre.1060.0380