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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).








Academic (11)
  • Wagenaar, J., Fragkos, I., & Faro, M. (Accepted/In press). Transportation asset acquisition under a newsvendor model with cutting stock restrictions: approximation and decomposition algorithms. Transportation Science.

  • Fragkos, I., Cordeau, J. F., & Jans, R. (2021). Decomposition methods for large-scale network expansion problems. Transportation Research. Part B, Methodological, 144, 60-80.

  • Wagenaar, J., Fragkos, I., & Zuidwijk, R. (2021). Integrated planning for multimodal networks with disruptions and customer service requirements. Transportation Science, 55(1), 196-221.,

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.,

  • Fragkos, I., & De Reyck, B. (2016). Improving the maritime transshipment operations of the Noble Group. Interfaces, 46(3), 203-217.

  • 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.

  • 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.

Professional (1)
  • 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.

Popular (2)
  • Huang, Y. (Author), Avgerinos, E. (Author), & Fragkos, I. (Author). (2020). 18 Minutes, 37 Seconds: Improving The Effectiveness Of Surgical Teams (Part 2). Web publication/site, COUNCIL ON BUSINESS & SOCIETY INSIGHTS.

  • Huang, Y. (Author), Avgerinos, E. (Author), & Fragkos, I. (Author). (2020). Improving the effectiveness of surgical teams. Web publication/site, COUNCIL ON BUSINESS & SOCIETY INSIGHTS.


Prescriptive Analytics

  • Study year: 2022/2023, 2021/2022
  • Code: B3T1104
  • Level: Bachelor 3, Bachelor 3, Bachelor 3

Management Science

  • Study year: 2022/2023
  • Code: BM04BAM
  • Level: Master

Decision Science & Operations

  • Study year: 2022/2023, 2021/2022, 2020/2021, 2019/2020
  • Code: BM27MIM
  • ECTS: 6 Level: Master

MiM Master Thesis

  • Study year: 2022/2023
  • Code: BMMTMIM
  • ECTS: 16 Level: Master

OLD STYLE - Research Methods and Skills

  • Study year: 2022/2023, 2021/2022, 2020/2021
  • Code: BMRM3SCM
  • Level: Master

Past courses

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

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    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…

Featured on RSM Discovery

Moving forward after surgical failure

Healthcare teams work better together if they’re familiar – particularly after a patient death. And later patients leave hospital faster.