Ioannis Fragkos

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

• Fragkos, I., Cordeau, JF., & 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., Gokpinar, B., & Fragkos, I. (2020). The Effect of Failure on Performance over Time: The Case of Cardiac Surgery Operations. Journal of Operations Management, 66(4), 441-463.

• 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.

• Wagenaar, J., Kroon, LG., & 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.

• 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.

• 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.

• Fragkos, I., & De Reyck, B. (2016). On improving the Maritime Transshipment Operations of the Noble Group. Interfaces, 46(3), 203-217.

• Akartunali, K., Fragkos, I., Miller, AJ., & 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.

• Alexandre de Araujo, S., De Reyck, B., Degraeve, Z., Fragkos, I., & Jans, RF. (2015). Period Decompositions for the Capacitated Lot Sizing Problem with Setup Times. INFORMS Journal on Computing, 27(3), 431-448.