Biography
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).
Rotterdam School of Management, Erasmus University
- fragkos@rsm.nl
More information
Work
- Lucas Böttcher, Thomas Asikis & Ioannis Fragkos (2023) - Control of Dual-Sourcing Inventory Systems Using Recurrent Neural Networks - INFORMS Journal on Computing, 35 (6), 1308-1328 - doi: 10.1287/ijoc.2022.0136 - [link]
- Joris Wagenaar, Ioannis Fragkos & Martin Faro (2023) - Transportation asset acquisition under a newsvendor model with cutting stock restrictions: approximation and decomposition algorithms - Transportation Science, 57 (3), 778-795 - doi: 10.1287/trsc.2023.1201 - [link]
- Ioannis Fragkos, Jean François Cordeau & Raf Jans (2021) - Decomposition methods for large-scale network expansion problems - Transportation Research. Part B, Methodological, 144, 60-80 - doi: 10.1016/j.trb.2020.12.002 - [link]
- Joris Wagenaar, Ioannis Fragkos & Rob Zuidwijk (2021) - Integrated planning for multimodal networks with disruptions and customer service requirements - Transportation Science, 55 (1), 196-221 - doi: 10.1287/TRSC.2020.1006 - [link]
- Emmanouil Avgerinos, Ioannis Fragkos & Yufei Huang (2020) - Team familiarity in cardiac surgery operations: The effects of hierarchy and failure on team productivity - Human Relations, 73 (9), 1278-1307 - doi: 10.1177/0018726719857122 - [link]
- Y Huang, E Avgerinos & Ioannis Fragkos (2020) - 18 Minutes, 37 Seconds: Improving The Effectiveness Of Surgical Teams (Part 2) - [link]
- Y Huang, E Avgerinos & Ioannis Fragkos (2020) - Improving the effectiveness of surgical teams - [link]
- Emmanouil Avgerinos, Bilal Gokpinar & Ioannis Fragkos (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 - doi: 10.1002/joom.1068 - [link]
- Bert De Reyck, Ioannis Fragkos, Yael Grushka-Cockayne, Casey Lichtendahl, Hammond Guerin & Andrew Kritzer (2017) - Vungle Inc. Improves monetization using big data analytics - Interfaces, 47 (5), 454-466 - doi: 10.1287/inte.2017.0903 - [link]
- Joris Wagenaar, Leo Kroon & Ioannis Fragkos (2017) - Rolling stock rescheduling in passenger railway transportation using dead-heading trips and adjusted passenger demand - Transportation Research. Part B, Methodological, 101, 140-161 - doi: 10.1016/j.trb.2017.03.013 - [link]
- Ioannis Fragkos (2022) - Bestseller case award
- Ioannis Fragkos (2016) - Wagner prize finalists award
Rotterdam School of Management BV
- Start date approval
- October 2022
- End date approval
- October 2025
- Place
- ROTTERDAM
- Description
- MBA Teaching
Decision Science & Operations
- Level
- master
- Year Level
- master
- Year
- 2024
- Course Code
- BM27MIM
Managerial Decision Analysis
- Year
- 2024
- Course Code
- GEMBA26-M1-MDA
SCM Honours Class
- Level
- master
- Year Level
- master
- Year
- 2024
- Course Code
- BMHONSCM