Integrated Process Planning, Scheduling, and Due-Date Assignment

About Abdullah Hulusi KökçamCaner ErdenHalil Ibrahim Demir

H.I. Demir completed his undergraduate education at Bilkent University Industrial Engineering Department with a full scholarship in Ankara Türkiye. He completed his master's degree in Industrial Engineering at Lehigh University Bethlehem USA with a full scholarship from the Ministry of National Education of Türkiye. He started his Ph.D. in Industrial Engineering at Northeastern University Boston USA and completed his courses there. After returning to Türkiye he finished his Ph.D. thesis on Integrated Process Planning Scheduling and Due-date Assignment at Sakarya University. He is still working as an Assistant Professor at Sakarya University. His research interests include optimization simulation scheduling decision theory multicriteria decision-making and meta-heuristic algorithms.A.H. Kökçam completed his master's degree at Sakarya University Department of Industrial Engineering in 2010 with a study on fuzzy project scheduling using meta-heuristic methods. He received his Ph.D. from Sakarya University Department of Industrial Engineering in 2017. In his doctoral dissertation he worked on an alternative model to evaluate school success in the entrance examination for higher education. He works as an assistant professor at the Sakarya University Industrial Engineering Department. His research interests include meta-heuristic methods artificial intelligence fuzzy logic optimization and scheduling.C. Erden is currently an assistant professor at the Sakarya University of Applied Sciences and a senior researcher at the AI Research and Application Center Sakarya University of Applied Sciences Sakarya Türkiye. He worked as a research assistant in industrial engineering at Sakarya University and a researcher at Sakarya University AI Systems Application and Research between 2012-2020. He received his Ph.D. from Sakarya University in the field of industrial engineering. His research interests include scheduling discrete event simulation meta-heuristic algorithms modeling and optimization machine learning and deep learning.