OR-MASTER is led by a team at Lancaster University Management School, working with Computing, Science and Mathematics researchers at Leicester University. The research has been funded by the EPSRC (Engineering and Physical Sciences Research Council) in response to growing concerns over airport capacity, rising demand, and the impact of congestion on both the travelling public and the air transport industry.
The work will build on the UK's world-leading expertise in Operational Research to find the most efficient ways to schedule flights, developing and testing new models and solution algorithms that take into account all the factors involved in the allocation of flight 'slots': individual airport operations, networks of airports, airline operations, air traffic management systems, airport authorities, civil aviation authorities, airlines and the travelling public.
Project lead, Professor Konstantinos G. Zografos at Lancaster University Management School, said: "Existing approaches to airport slot allocation do not consider all the real-world complexity involved. Therefore, there is room to improve airport capacity utilization which will benefit airlines, airports and the travelling public."
OR-MASTER Lancaster members include the following:
- Konstantinos Zografos (Principal Investigator)
- Kevin Glazebrook (Co-investigator)
- Jamie Fairbrother
- Fotis Katsigiannis
- Theodoti Kerama
- Merve Keskin Ozel
- Robert Shone
- David Torres Sanchez
OR-MASTER external members include the following:
- Edmund Burke (Co-investigator, University of Leicester)
- John Drake (Co-investigator, University of Leicester)
- David Melder (University of Leicester)
- Sha Wang (Queen Mary University of London)
This research group participates in a wide range of activities and hosts events such as conferences, presentations and more.
3-Year PhD studentship in Mathematical Models and Algorithms for Managing Airport Capacity
"Mathematical Models and Algorithms for Allocating Scarce Airport Resources” (OR-MASTER) is a Programme Grant funded by the Engineering and Physical Sciences Research Council (EPSRC). OR-MASTER aims to develop new mathematical models and algorithms for solving complex, large-scale resource allocation problems, with the ultimate goal of developing innovative decision support capabilities for airport capacity allocation and management. At Lancaster, OR-MASTER is undertaken by the Centre for Tra
Honorable mention in INFORMS 2021 AAS Best Student Presentation Competition
Fotios Katsigiannis (OR-MASTER PhD student, supervised by Konstantinos Zografos), participated in the INFORMS 2021 conference and the Aviation Applications Section (AAS) Best Student Presentation Competition.
This year’s AAS Best Student Presentation Competition hosted presentations from 12 doctoral students from around the globe. Fotios’ talk was entitled “Multi-Objective, Multi-Stakeholder Airport Slot Scheduling Considering Expected Delays” and received an Honorable Mention.
RESPOND-OR: Supporting disaster management and humanitarian aid organizations to cope effectively with large-scale natural disasters
On 8 June 2021, Lancaster University researchers from the Centre for Transport and Logistics (CENTRAL) held an online workshop with the participation of the National Disaster Management Authority of the Republic of Indonesia (BNPB) and Humanitarian Forum Indonesia (HFI)
View publications from this project