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Operations Research and AI for Airline Operations

Operations Research and AI for Airline Operations

The project "Operations Research and AI for Airline Operations" is a collaboration between UT and KLM Royal Dutch Airlines as part of the Kickstart AI initiative, involving a jointly funded assistant professorship (Dennis Prak) and two jointly funded PhD candidates (Antonio Montaruli and Mahekha Dahanayaka). This project includes various research and education activities, notably:

  • the PhD projects of Antonio Montaruli and Mahekha Dahanayaka, embedded at the section IEMS at UT and the Data Science platforms Integrated Planning & Control and Ground at KLM. Topics include strategic and tactical airline network planning, airline network revenue management, and workforce planning under operational uncertainties. The aim is to obtain practicable decision support for complex airline network problems, using novel prediction techniques, stochastic and robust optimization methodologies.
  • the minor module Aerospace Management & Operations, coordinated by Dennis Prak, which offers a broad introduction into the aviation industry, airline and airport management, open to all UT BSc students and exchange students.
  • various IEM BSc and MSc thesis topics on related subjects, such as robust maintenance slot planning, missed connection risk prediction, mitigating gate delays due to hand luggage overflow, and estimating durations and volatilities of platform handling tasks.

Project information

Project runtime 01-11-2022 - 1-11-2027
Funding Funded by KLM Royal Dutch Airlines
Lead institution University of Twente
Principal investigator Dr. ir. Dennis Prak (IEMS, University of Twente)

PROJECT TEAM (internal)