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 (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

  • Professional (1)
    • De Reyck, B., Grushka-Cockayne, Y., Fragkos, I., Harrison, J., & Read, D. 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.

  • Role: Member Doctoral Committee
  • PhD Candidate: Arpan Rijal
  • Time frame: 2015 - 2020

*Please note that this is a Taiwan EUR Scholarship project. For more information on the scholarship programme, please visit the website of the Ministry of Education (MOE) of Taiwan (https://www.scholarship.moe.gov.tw/top100).*

The ERIM Business Processes, Logistics, and Information Systems (LIS) doctoral program trains students to apply state-of-the-art methodological skills and theoretical knowledge to key challenges that organizations face. Candidates based at the Technology and Operations Management (TOM) Department will participate in research that supports RSM’s mission to be “A Force for Positive Change”.

Candidates are invited to become active members of the large and diverse group of researchers at TOM, and to contribute to both management science as well as management practice in one or more of our three key areas: logistics and supply chain management (SCM section), operations and innovation management (IM section), and next generation business information management systems (BIM section).

Some examples of our current research topics are: Automated Warehousing Systems, Behavioural Operations Management, Big Data Analytics, Business Information Management, Goal Setting, Innovation Management, Creativity, Co-creation, Complex Systems, Leadership, Innovation Strategy, Inventory Management, Last-mile Delivery, Logistics, Omni-channel Assortment Planning, Policies for Collaborative Outbound Logistics, Port and Terminal Operations, Purchasing and Supply Management, Public Transport, Responsible Supply Chains, Risk and Security Management in Global Supply Chains, Supply Chain Management, Sustainability, Transportation, Urban Mobility and the Sharing Economy, and Value-based Purchasing in Healthcare.

We also welcome applicants who work on different or new topics broadly related to innovation, business information, and/or supply chains.

Read more

The ERIM Business Processes, Logistics, and Information Systems (LIS) doctoral program trains students to apply state-of-the-art methodological skills and theoretical knowledge to key challenges that organizations face. Candidates based at the Technology and Operations Management (TOM) Department will participate in research that supports RSM’s mission to be “A Force for Positive Change”.

Candidates are invited to become active members of the large and diverse group of researchers at TOM, and to contribute to both management science as well as management practice in one or more of our three key areas: logistics and supply chain management (SCM section), operations and innovation management (IM section), and next generation business information management systems (BIM section).

Some examples of our current research topics are: Automated Warehousing Systems, Behavioural Operations Management, Big Data Analytics, Business Information Management, Goal Setting, Innovation Management, Creativity, Co-creation, Complex Systems, Leadership, Innovation Strategy, Inventory Management, Last-mile Delivery, Logistics, Omni-channel Assortment Planning, Policies for Collaborative Outbound Logistics, Port and Terminal Operations, Purchasing and Supply Management, Public Transport, Responsible Supply Chains, Risk and Security Management in Global Supply Chains, Supply Chain Management, Sustainability, Transportation, Urban Mobility and the Sharing Economy, and Value-based Purchasing in Healthcare.

We also welcome applicants who work on different or new topics broadly related to innovation, business information, and/or supply chains.

Read more
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