dr. I. (Ioannis) Fragkos

Dummy
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

Article (10)

  • Academic (10)

    • Fragkos, I., Cordeau, JF., & 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

    • 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. https://doi.org/10.1002/joom.1068

    • 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

    • 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. https://doi.org/10.1016/j.trb.2017.03.013

    • 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

    • 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

    • Fragkos, I., & De Reyck, B. (2016). On improving the Maritime Transshipment Operations of the Noble Group. Interfaces, 46(3), 203-217. https://doi.org/10.1287/inte.2015.0841

    • 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. https://doi.org/10.1287/ijoc.2016.0712

    • 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. https://doi.org/10.1287/ijoc.2014.0636

Report (1)

  • 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.

Web publication/site (2)

  • 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.

PhD Track (1)

Managing External Temporal Constraints in Manual Warehouses
  • Role: Member Doctoral Committee
  • PhD Candidate: Arpan Rijal
  • Time frame: 2015 - 2020

Events (9)

2020
January
17
Robust Dual Dynamic Programming
Research Seminar
As: Coordinator
2019
December
09
Joint Pricing and Production: An Analytics Perspective
Research Seminar
As: Coordinator
2019
December
04
An Exponential Smoothing Model with A Life Cycle Trend
Research Seminar
As: Coordinator
2019
November
20
Can Deep Reinforcement Learning Improve Inventory Management? Performance on Dual Sourcing, Lost Sales and Multi-Echelon Problems
Research Seminar
As: Coordinator
2017
December
12
Ideation-Execution Transition in Product Development
Research Seminar
As: Coordinator
2017
December
07
Strategic Open Routing in Service Networks
Research Seminar
As: Coordinator
2017
November
23
Operational Innovations in Emerging Economies to Advance Sustainable Sourcing
Research Seminar
As: Coordinator
2015
December
11
Local Cuts and Two-Period Convex Hull Closures for Big-Bucket Lot-Sizing Problems
Research Seminar
As: Speaker
2015
January
23
Optimising Maritime Transshipment Operations for the Noble Group
Research Seminar
As: Speaker

Address

Visiting address

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

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands

Research Initiatives

Latest publication

Article

Fragkos, I., Cordeau, JF., & 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