Författare: Ercan Oztemel

Zekai Şen obtained B.Sc. and M.Sc. degrees from Technical University of İstanbul in 1971. His post-graduate studies were carried out at the University of London, Imperial College of Science and Technology. He was granted Diploma of Imperial College (D.I.C) and M.Sc. in Engineering Hydrology in 1972 and Ph.D. in Stochastic Hydrology in 1974. He has worked in different faculties as the head of department such as the Faculty of Earth Sciences, Hydrogeology Department; Faculty of Astronautics and Aeronautics, Meteorology Department. His main interests are hydrology, water resources, hydrogeology, hydrometeorology, hydraulics, science philosophy and history. He has published numerous papers in journals of national and international repute. Ercan Öztemel graduated from the Department of Industrial Engineering, Sakarya Engineering Faculty at Istanbul Technical University in 1984. He completed his Master”s degree at the Department of Industrial Engineering at Bosphorouos University in 1987 and his doctorate studies at the Department of Systems Engineering of the School of Electrical, Electronics and Systems Engineering at the University of Wales in England in 1992. Between 1993-2006, he worked as a faculty member at Sakarya University. From 1997 to 2010, he conducted research at the Western European Union Armaments Group (WEAG), served as a member of the Steering Commitee in Groups11 and 15, and as a Panel member of the System Analysis and Simulation (SAS) at NATO in 2001-2006. His research interests include artificial intelligence, intelligent manufacturing systems, management information systems, simulation and modeling, military simulation, simulators, strategic planning, and quality management. Caner Erden is an assistant professor at the Faculty of Applied Sciences, Sakarya University of Applied Sciences, Turkey. He received his Ph.D. in industrial engineering from Natural Science Institute Industrial Engineering Department, Sakarya University, Turkey. His main research interests include scheduling, discrete event simulation, meta-heuristic algorithms, modelling and optimization, decision-making under uncertainty, machine learning and resource allocation and rough sets.