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E. Karabulut T¨urkseven, E. Gen¸c, and I. Safak / Vol.15, No.2, pp.330-342 (2025)

22. Sprecher A, Hartmann S, Drexl A. An exact algo- 32. Weglarz J, Jozefowska J, Mika M, Waligora G.
rithm for project scheduling with multiple modes. Project scheduling with finite or infinite number
Oper Res Spektrum 1997;19:195-203. of activity processing modes-A survey. Eur J Oper
https://doi.org/10.1007/BF01545587 Res 2011;208:177-205.
23. Hartmann S, Drexl A. Project scheduling with https://doi.org/10.1016/j.ejor.2010.03.037
multiple modes: A comparison of exact algo-
Ezgi Karabulut T¨urkseven works as an assistant
rithms. Networks: An International Journal
professor at Sabanci University Industrial Engineering
1998;32:283-297.
program. Her BSc and MSc degrees are from Bo˘gazi¸ci
https://doi.org/10.1002/(SICI)1097-
University Industrial Engineering department, and
0037(199812)32:4¡283::AID-NET5¿3.0.CO;2-I
she received her PhD in OR from Georgia Institute
24. Sprecher A, Drexl A. Multi-mode resource-
of Technology. With her background in operations re-
constrained project scheduling by a simple, gen-
search, her recent work focuses on machine learning
eral and powerful sequencing algorithm. Eur J
and optimization.
Oper Res 1998;107:431-450.
https://orcid.org/0000-0001-8642-7715
https://doi.org/10.1016/S0377-2217(97)00348-2
25. Boctor F. A new and efficient heuristic for
Ezgi Gen¸c is a Senior Analyst at Dcipher Analyt-
scheduling projects with resource restrictions
ics in Istanbul, Turkey. She received both her BSc
and multiple execution modes. Eur J Oper Res
(2019) and MSc (2021) degrees in Industrial Engi-
1996;90:349-361.
neering from Sabanci University. During her studies,
https://doi.org/10.1016/0377-2217(95)00359-2
she gained practical experience through internships at
26. Boctor F. Resource-constrained project sched-
NielsenIQ, Allianz, and BMC. Since joining Dcipher
uling by simulated annealing. Int J Prod Res
Analytics in 2021, she has been involved in conducting
1996;34:2335-2351.
in-depth data analysis, contributing to international
https://doi.org/10.1080/00207549608905028
projects, and deriving actionable insights. Her main
27. Bouleimen K, Lecocq H. A new efficient simulated
research interests include statistics, machine learning,
annealing algorithm for the resource-constrained
and AI applications.
project scheduling problem and its multiple mode
https://orcid.org/0000-0001-6815-4207
version. Eur J Oper Res 2003;149:268-281.
https://doi.org/10.1016/S0377-2217(02)00761-0
Ilgın S¸afak is an Expert Researcher at Fibabanka’s
28. Jozefowska J, Mika M, Rozycki R, Waligora
R&D Center in Istanbul, Turkey and a Postdoctoral
G, Weglarz J. Simulated annealing for multi-
Researcher at the University of Jyv¨askyl¨a, Finland.
mode resource-constrained project scheduling.
She received her MSc and PhD degrees in 2006 and
Ann Oper Res 2001;102:137-155.
2013 respectively, in Electrical and Electronics En-
29. Mori M, Tseng C. A genetic algorithm for multi-
gineering from Hacettepe University in Turkey. She
mode resource constrained project scheduling
worked as a Product Manager in Product Develop-
problem. Eur J Oper Res 1997;100:134-141.
ment and Innovation at Mastercard Payment Trans-
https://doi.org/10.1016/S0377-2217(96)00180-4 action Services Turkey in Istanbul, Turkey between
¨
30. Ozdamar L. A genetic algorithm approach to 2013 and 2016. She worked as a Manager in Product
a general category project scheduling problem. Development and Innovation at Mastercard in Pur-
IEEE Trans Syst Man Cybern C (Applications chase, NY from 2016 until 2018. She worked as a
And Reviews) 1999;29:44-59. Solution Engineer from 2019 until 2020 at HAVEL-
https://doi.org/10.1109/5326.740669 SAN, Turkey. She has been working at Fibabanka since
31. Alcaraz J, Maroto C, Ruiz R. Solving the Multi- 2020. She published 27 articles and has filed 11 patent
Mode Resource-Constrained Project Scheduling applications. Her research interests are in cyberse-
Problem with genetic algorithms. J Oper Res Soc curity, distributed ledger technology, artificial intelli-
2003;54:614-626. gence/machine learning, and the internet of things.
https://doi.org/10.1057/palgrave.jors.2601563 https://orcid.org/0000-0002-2788-7276
An International Journal of Optimization and Control: Theories & Applications
(https://accscience.com/journal/ijocta)
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