Integrated Process Planning, Scheduling, and Due-Date Assignment

H.I. Demir completed his undergraduate education at Bilkent University, Industrial Engineering Department, with a full scholarship in Ankara, Tuerkiye. 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 Tuerkiye. He started his Ph.D. in Industrial Engineering at Northeastern University, Boston, USA, and completed his courses there. After returning to Tuerkiye, 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. Koekcam 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, Tuerkiye. 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.