EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
2996. Multi-Agent Airline Integrated Planning and Scheduling Under Demand Uncertainty
Invited abstract in session TC-43: Simulation in transportation and logistics, stream Agent-based Models in Management, Economic and Organisation Sciences.
Tuesday, 12:30-14:00Room: 99 (building: 306)
Authors (first author is the speaker)
| 1. | Mahdi Noorafza
|
| Delft University of Technology | |
| 2. | Bruno Filipe Santos
|
| Delft University of Technology | |
| 3. | Alexei Sharpanskykh
|
| Delft University of Technology |
Abstract
Integrated planning and scheduling are crucial aspects of airline management, especially when dealing with uncertain passenger demand. A common strategy to tackle this challenging approach is to develop partially integrated optimization models. While existing research deploys these partial models in stages, this study introduces a framework based on a multi-agent system model that combines fleet planning, network planning, and flight scheduling into a single model. Our framework provides a comprehensive solution to the challenges arising from the complex interactions between fleet acquisition decisions, network design, and flight timetables in an airline. The planning and scheduling are carried out through computational agents representing departments and individual decision-makers within an airline. A demand scenario tree is utilized to model demand uncertainties in the future. Nodes in the scenario tree contain similar computational agents and receive demand input associated with that node. The final plan is generated using an innovative collaborative multi-agent planning algorithm that allows information exchange between agents within each node and the nodes themselves. The framework can accommodate detailed operational constraints of the airline, enabling the tailored identification and evaluation of potential operational improvements. Finally, we demonstrate the application and potential improvements of the framework in several cases.
Keywords
- Airline Applications
- Agent Systems
- Decision Support Systems
Status: accepted
Back to the list of papers