Profile
Ioannis Fragkos is Associate Professor in the Department of Technology and Operations Management, within the Rotterdam School of Management (RSM). Before joining RSM, Ioannis was an instructor at University College London, teaching staff at London Business School and London School of Economics, and a research scientist with the Department of Logistics and Operations Management at HEC Montreal.
Ioannis’s research focuses on decision analytics, decision support systems and the development of large-scale optimization models. His research has appeared in leading international academic journals, and has been applied in a variety of companies in the high-tech, maritime, transportation and education industries. Ioannis has collaborated with organizations such as the UK Department for Transport, Network Rail, the Noble Group, and London Business School. He is a regular speaker at international conferences in the area of decision analytics, operations management and management science, and a member of the Institute for Operations Research and Management Science (INFORMS).
Publications
Article (12)
Academic (12)
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Böttcher, L., Asikis, T., & Fragkos, I. (2023). Control of Dual-Sourcing Inventory Systems Using Recurrent Neural Networks. INFORMS Journal on Computing, 35(6), 1308-1328. https://doi.org/10.1287/ijoc.2022.0136
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Wagenaar, J., Fragkos, I., & Faro, M. (2023). Transportation asset acquisition under a newsvendor model with cutting stock restrictions: approximation and decomposition algorithms. Transportation Science, 57(3), 778-795. https://doi.org/10.1287/trsc.2023.1201
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Fragkos, I., Cordeau, J. F., & Jans, R. (2021). Decomposition methods for large-scale network expansion problems. Transportation Research. Part B, Methodological, 144, 60-80. https://doi.org/10.1016/j.trb.2020.12.002
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Wagenaar, J., Fragkos, I., & Zuidwijk, R. (2021). Integrated planning for multimodal networks with disruptions and customer service requirements. Transportation Science, 55(1), 196-221. https://doi.org/10.1287/trsc.2020.1006, https://doi.org/10.1287/TRSC.2020.1006
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Avgerinos, E., Fragkos, I., & Huang, Y. (2020). Team familiarity in cardiac surgery operations: The effects of hierarchy and failure on team productivity. Human Relations, 73(9), 1278-1307. https://doi.org/10.1177/0018726719857122
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Avgerinos, E., Gokpinar, B., & Fragkos, I. (2020). The Effect of Failure on Performance over Time: The Case of Cardiac Surgery Operations: The case of cardiac surgery operations. Journal of Operations Management, 66(4), 441-463. https://doi.org/10.1002/joom.1068
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De Reyck, B., Fragkos, I., Grushka-Cockayne, Y., Lichtendahl, C., Guerin, H., & Kritzer, A. (2017). Vungle Inc. Improves monetization using big data analytics. Interfaces, 47(5), 454-466. https://doi.org/10.1287/inte.2017.0903
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Wagenaar, J., Kroon, L., & Fragkos, I. (2017). Rolling stock rescheduling in passenger railway transportation using dead-heading trips and adjusted passenger demand. Transportation Research. Part B, Methodological, 101, 140-161. https://doi.org/10.1016/j.trb.2017.03.013
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Akartunali, K., Fragkos, I., Miller, A. J., & Wu, T. (2016). Local cuts and two-period convex hull closures for big-bucket lot-sizing problems. INFORMS Journal on Computing, 28(4), 766-780. https://doi.org/10.1287/ijoc.2016.0712, https://doi.org/10.1287/ijoc.2016.0712
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Fragkos, I., & De Reyck, B. (2016). Improving the maritime transshipment operations of the Noble Group. Interfaces, 46(3), 203-217. https://doi.org/10.1287/inte.2015.0841
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Fragkos, I., Degraeve, Z., & De Reyck, B. (2016). A horizon decomposition approach for the capacitated lot-sizing problem with setup times. INFORMS Journal on Computing, 28(3), 465-482. https://doi.org/10.1287/ijoc.2016.0691
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De Araujo, S. A., De Reyck, B., Degraeve, Z., Fragkos, I., & Jans, R. (2015). Period decompositions for the capacitated lot sizing problem with setup times. INFORMS Journal on Computing, 27(3), 431-448. https://doi.org/10.1287/ijoc.2014.0636
Report (1)
Professional (1)
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De Reyck, B., Grushka-Cockayne, Y., Fragkos, I., Harrison, J., & Read, D. (2017). Optimism Bias Study: Recommended Adjustments to Optimism Bias Uplifts. UK Department for Transport.
Web publication/site (2)
Popular (2)
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Huang, Y., Avgerinos, E., & Fragkos, I. (2020). 18 Minutes, 37 Seconds: Improving The Effectiveness Of Surgical Teams (Part 2). Web publication/site, COUNCIL ON BUSINESS & SOCIETY INSIGHTS.
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Huang, Y., Avgerinos, E., & Fragkos, I. (2020). Improving the effectiveness of surgical teams. Web publication/site, COUNCIL ON BUSINESS & SOCIETY INSIGHTS.
Activities
Additional positions (1)
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Rotterdam School of Management BVStart date approval: 26 Oct 2022End date approval: 25 Oct 2025Place: ROTTERDAMDescription: MBA Teaching
Additional activities (1)
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ELA (External organisation)Ioannis Fragkos (Member)01 Jan 2024
Activity: Other activity > Membership of committee (Academic)
Courses
Management Science
- Study year: 2024/2025, 2023/2024, 2022/2023
- Code: BM04BAM
- Level: Master
Decision Science & Operations
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BM27MIM
- ECTS: 6 Level: Master
SCM Honours Class
- Study year: 2024/2025, 2023/2024
- Code: BMHONSCM
- Level: Master
MiM Master Thesis
- Study year: 2024/2025, 2023/2024, 2022/2023
- Code: BMMTMIM
- ECTS: 16 Level: Master
Managerial Decision Analysis
- Study year: 2024/2025
- Code: GEMBA26-M1-MDA
Past courses
OLD STYLE - Research Methods and Skills
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BMRM3SCM
- Level: Master
Prescriptive Analytics
- Study year: 2022/2023, 2021/2022
- Code: B3T1104
- Level: Bachelor 3, Bachelor 3, Bachelor 3
Quantitative Decision Making
- Study year: 2021/2022
- Code: BT1215
- Level: Bachelor 1, Bachelor 2, Pre-master
Management science
- Study year: 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BM14MIM
- ECTS: 2 Level: Master
Operations Research Methods
- Study year: 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BMRM1SCM
- ECTS: 3 Level: Master
Featured in the media
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How to help healthcare staff bounce back after the pandemic
Healthcare staff are working relentlessly under heavy psychological and physical distress caused by the COVID-19 pandemic. However, new research from the RSM, Erasmus University shows consistency in healthcare teams increases…
Monday, 29 March 2021 -
What makes surgical teams more productive?
An article about the research of Ioannis Fragkos, Professor in the Department of Technology and Operations Management, within the RSM. The article adresses the problem within the focus of many govenrments: healthcare service.…
Wednesday, 9 September 2020 -
New research into productivity could allow surgeons to perform an extra 53 operations a year
Research to which Ioannis Fragkos of RSM conducted to has found that organising surgical teams based on ‘horizontal familiarity’ – such as surgeons working with other surgeons that they are familiar with, and sub-team members…
Wednesday, 29 July 2020
Featured on RSM Discovery
