dr. I. (Ioannis) Fragkos

Rotterdam School of Management (RSM)
Erasmus University Rotterdam
Member ERIM
Field: Logistics & Information Systems
Affiliated since 2015

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

  • Academic (12)
    • 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

    • 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

    • 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

    • 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

    • 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

    • 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

    • 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

    • 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

    • 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

    • 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

    • 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

    • 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

  • 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., 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.

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

  • Role: Member Doctoral Committee
  • PhD Candidate: Arpan Rijal
  • Time frame: 2015 - 2020
  • Role: Daily Supervisor
  • PhD Candidate: Océane Marine Fourmentraux
  • Time frame: 2023 -
  • Role: Daily Supervisor
  • PhD Candidate: Seyed Mohsen Kermani
  • Time frame: 2023 -
  • Role: Co-promotor
  • PhD Candidate: Mohammad Reza Mehrpour
  • Time frame: 2023 -
  • Role: Co-promotor
  • PhD Candidate: Klaus Sebastian Garrido
  • Time frame: 2023 -
2020
January
17
Research Seminar
As: Coordinator
2019
December
09
2019
December
04
2017
December
12
Research Seminar
As: Coordinator
2017
December
07
Research Seminar
As: Coordinator
2017
November
23
2015
January
23

Address

Visiting address

Office: Mandeville Building T09-27
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands