EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
2746. Optimising Airport Ground Handling Operations Considering Multi-Skilled Personnel
Invited abstract in session MD-55: Airline Applications II, stream Transportation.
Monday, 14:30-16:00Room: S02 (building: 101)
Authors (first author is the speaker)
| 1. | Maurice Krauth
|
| Chair of Railway Operations, Technische Universität Dresden | |
| 2. | Henning Preis
|
| Faculty of Traffic and Transportation Sciences, Chair of Railway Operations, Technische Universität Dresden | |
| 3. | Noah Jalowski
|
| Technische Universität Dresden | |
| 4. | Nikola Bešinović
|
| Chair of Railway Operations, Faculty of Transport and Traffic Sciences, Technical University of Dresden |
Abstract
Ground handling operations at airports include a wide range of services such as baggage handling, aircraft maintenance, and passenger services. The complex associations and dynamic nature of these operations demand not just efficiency but also adaptability and precision in resource management.
This research introduces a novel approach for scheduling ground handling operations, by integrating Resource Constrained Project Scheduling Problem (RCPSP) and Hopcroft-Karp algorithm to match ground handling operations and multi-skilled personnel. First, the task scheduling is addressed, which involves the adapted RCPSP model to the ground handling operations, considering various constraints including time windows, personnel availability, and task dependencies. Second, the allocation of multi-qualified personnel is tackled, which introduces a modified Hopcroft-Karp algorithm to match the scheduled tasks with the applicable personnel based on their skills and availability. The overall objective is the minimisation of delays, i.e. deviations from the planned activities.
We demonstrate the performance of this approach under different conditions such as delays or resource shortage for an exemplary data set of an airport. We compare different scenarios and present the benefits of this approach.
Keywords
- Optimization Modeling
- Algorithms
- Transportation
Status: accepted
Back to the list of papers