Sinan Gürel is a Professor in the Department of Industrial Engineering at Middle East Technical University. He received his Ph.D. degree in Industrial Engineering from Bilkent University. He worked as a postdoctoral fellow in Warwick Business School in 2008-2009. He spent September 2006-February 2007 in University of California Berkeley as a visiting researcher. He has served as the executive committee member of the Turkish Operational Research Society between 2011-2017.
He received the first prize in INFORMS Case Competition in 2012 and the Best Technical Paper Award in AGIFORS 2011.

Publications

  1. Ç.Aydoğan, S.Gürel, “Energy efficient scheduling in a robotic cell with a material handling robot serving two parallel machines” International Journal of Production Research, 2024. https://doi.org/10.1080/00207543.2024.2398585
  2. Ç.Aydoğan, S.Gürel, “Energy efficient scheduling of a two machine robotic cell producing multiple part types,” Flexible Services and Manufacturing, 2024. https://link.springer.com/article/10.1007/s10696-023-09528-4
  3. M.Çağlar, S.Gürel, “Public R&D project portfolio selection under expenditure uncertainty,” Annals of Operations Research, 2023. https://doi.org/10.1007/s10479-023-05638-2
  4. S.Gürel, H. Gültekin, N. Tatar,“Scheduling a dual gripper material handling robot with energy considerations,” Journal of Manufacturing Systems, vol. 67, pp. 265 – 280, 2023. https://doi.org/10.1016/j.jmsy.2023.01.011
  5. H. Gültekin, S.Gürel, R. Taşpınar,“Bicriteria scheduling of a material handling robot in an m-machine cell to minimize the energy consumption of the robot and the cycle time,” Robotics and Computer Integrated Manufacturing, vol. 72, pp. 1 – 14, 2021. https://doi.org/10.1016/j.rcim.2021.102207
  6. S.Gürel, H. Gültekin, V.E. Akhlaghi,“Energy Conscious Scheduling of a Material Handling Robot in a Manufacturing Cell,” Robotics and Computer Integrated Manufacturing, vol. 58, pp. 97 – 108, 2019. https://doi.org/10.1016/j.rcim.2019.02.002
  7. M.Çağlar, S.Gürel, “Impact Assessment Based Sectoral Balancing In Public R&D Project Portfolio Selection,” Socio-Economic Planning Sciences, vol. 66, pp. 68 – 81, 2019. https://doi.org/10.1016/j.seps.2018.07.001
  8. S.Gürel, A.Shadmand, “A heterogeneous fleet liner ship scheduling problem with port time uncertainty,” Central European Journal of Operations Research, vol. 27, no. 4, pp. 1153 – 1175, 2019. https://doi.org/10.1007/s10100-018-0554-7
  9. M.Çağlar, S.Gürel, “Public R&D project portfolio selection problem with cancellations,” OR Spectrum, vol. 39, pp. 659-687, 2017. https://doi.org/10.1007/s00291-016-0468-5
  10. O.C.Saka, S.Gürel, and T.Van Woensel, “Using cost change estimates in a local search heuristic for the pollution routing problem,” OR Spectrum, vol. 39, pp. 557-587, 2017. https://doi.org/10.1007/s00291-016-0464-9
  11. U.Arıkan, S.Gürel, and M. S.Aktürk, “Flight network-based approach for integrated airline recovery with cruise speed control,” Transportation Science, vol. 51(4), 1259-1287 2017. https://doi.org/10.1287/trsc.2016.0716
  12. Ö.Şafak and S.Gürel, and M. S.Aktürk, “Integrated aircraft-path assignment and robust schedule design with cruise speed control,” Computers & Operations Research, vol. 84, pp. 127–145, 2017. https://doi.org/10.1016/j.cor.2017.03.005
  13. H.Gürkan, S.Gürel, and M. S.Aktürk, “An integrated approach for airline scheduling, aircraft fleeting and routing with cruise speed control,” Transportation Research Part C: Emerging Technologies, vol. 68, pp. 38 – 57, 2016. https://doi.org/10.1016/j.trc.2016.03.002
  14. U.Arıkan, S.Gürel, and M. S.Aktürk, “Integrated aircraft and passenger recovery with cruise time controllability,” Annals of Operations Research, vol. 236, no. 2, pp. 295–317, 2016. https://doi.org/10.1007/s10479-013-1424-2
  15. D.C.Paraskevopoulos, S. Gürel, and T. Bektaş, “The congested multicommodity network design problem,” Transportation Research Part E: Logistics and Transportation Review, vol. 85, pp. 166 – 187, 2016. https://doi.org/10.1016/j.tre.2015.10.007
  16. S.Gürel and D.Cincioğlu, “Rescheduling with controllable processing times for number of disrupted jobs and manufacturing cost objectives,” International Journal of Production Research, vol. 53, no. 9, pp. 2751–2770, 2015. https://doi.org/10.1080/00207543.2014.980452
  17. A.S.Duran, S.Gürel, and M. S. Aktürk, “Robust airline scheduling with controllable cruise times and chance constraints,” IIE Transactions, vol. 47, pp. 64–83, 2015. https://doi.org/10.1080/0740817X.2014.916457
  18. M.S.Aktürk, A.Atamtürk, and S. Gürel, “Aircraft rescheduling with cruise speed control,” Operations Research, vol. 62, no. 4, pp. 829–845, 2014. https://doi.org/10.1287/opre.2014.1279
  19. B.Chen and S.Gürel, “Efficiency analysis of load balancing games with and without activation costs,” Journal of Scheduling, vol. 15, pp. 157–164, 2012. https://doi.org/10.1007/s10951-011-0247-8
  20. S.Gürel, “A conic quadratic formulation for a class of convex congestion functions in network flow problems,” European Journal of Operational Research, vol. 211, pp. 252–261, 2011. https://doi.org/10.1016/j.ejor.2010.12.018
  21. M.S.Aktürk, A.Atamtürk, and S.Gürel, “Parallel machine match-up scheduling with manufacturing cost considerations,” Journal of Scheduling, vol. 13, no. 1, pp. 95–110, 2010. https://doi.org/10.1007/s10951-009-0111-2
  22. S.Gürel, E.Körpeoğlu, and M.S.Aktürk, “An anticipative scheduling approach with controllable processing times,” Computers & Operations Research, vol. 37, no. 6, pp. 1002–1013, 2010. https://doi.org/10.1016/j.cor.2009.09.001
  23. M.S.Aktürk, A.Atamtürk, and S.Gürel, “A strong conic quadratic reformulation for machine-job assignment with controllable processing times,” Operations Research Letters, vol. 37, no. 3, pp. 187–191, 2009. https://doi.org/10.1016/j.orl.2008.12.009
  24. S.Gürel and M. Selim Aktürk, “Scheduling preventive maintenance on a single CNC machine,” International Journal of Production Research, vol. 46, no. 24, pp. 6797–6821, 2008. https://doi.org/10.1080/00207540701487833
  25. S.Gürel and M.S.Aktürk, “Scheduling parallel CNC machines with time/cost trade-off considerations,” Computers & Operations Research, vol. 34, no. 9, pp. 2774–2789, 2007. https://doi.org/10.1016/j.cor.2005.10.018
  26. S.Gürel and M.S.Aktürk, “Optimal allocation and processing time decisions on non-identical parallel CNC machines: [epsilon]-constraint approach,” European Journal of Operational Research, vol. 183, pp. 591–607, December 2007. https://doi.org/10.1016/j.ejor.2006.10.024
  27. S.Gürel and M.S.Aktürk, “Considering manufacturing cost and scheduling performance on a CNC turning machine,” European Journal of Operational Research, vol. 177, no. 1, pp. 325–343, 2007. https://doi.org/10.1016/j.ejor.2005.11.029
  28. M.S.Aktürk and S.Gürel, “Machining conditions-based preventive maintenance,” International Journal of Production Research, vol. 45, no. 8, pp. 1725–1743, 2007. https://doi.org/10.1080/00207540600703587