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Table 1. Overview of the three AOC policies P1-P3 in relation to various disruption management aspects.
Aspect AOC Policy P1 AOC Policy P2 AOC Policy P3
Maintenance
Information Accept information source
and content and act on
information given about a
maintenance situation Challenge/ query
information about a
maintenance situation Seek alternative information
and recheck source and
reliability.
Crewing Await crew from inbound
aircraft Challenge crew limits/
Seek extensions to crew
duty time Seek alternative crew (e.g.
from nearby base or other
aircraft)
Curfews Curfews are not taken into
account Identify curfews and work
within them Seek curfew dispension
Aircraft Seek first available
aircraft Request high speed cruise Combine flights to free up
aircraft
2.2. Multi-agent Negotiation Policy P4
We developed a new negotiation approach based on the Single Text Mediated Protocol.
In this context, the AOC supervisor has the power of making the final decision based on
the feedback given by other agents and it also needs other agents’ expertise to generate
potential solutions for the underlying problem. For example, if the problem is related to
aircraft, it is required that the aircraft controllers inform the AOC supervisor about all
possible aircraft solutions. Since the given solutions may have an influence on other
agents’ processes, it is required to find a consensus among all agents. Accordingly, the
proposed negotiation approach works as follows:
Pre-negotiation phase:
Upon identification of a problem, the AOC supervisor asks the specialist agents to
provide all possible solutions corresponding to their problem dimension within a
certain deadline.
All specialist agents provide their solution to the AOC supervisor. The specialist agents
include the aircraft controller agent ACo, the crew controller agent CCo, and
Passengers Services agent PS.
If the AOC supervisor does not receive solutions from all three specialist agents, the
disruption cannot be managed.
Negotiation phase:
The AOC supervisor evaluates all proposals received from the specialist agents and
selects one of the solutions according to his bidding strategy. The AOC supervisor
announces his chosen solution to the specialist agents.
The specialist agents vote for or against the announced solution by the AOC supervisor.
Note that the specialist agents may use different criteria to evaluate the offer (e.g., cost,
safety, crew satisfaction, etc.)
If all three agents agree about the solution, the negotiation ends with the current
solution successfully.
If no consensus is received, the AOC supervisor makes a new offer for the three agents
to vote on. In the meantime, it keeps the offer which was accepted by the majority and
updates this offer over time. Note that this process is repeated until reaching an
agreement or the deadline.
S.Bouarfaetal. /AMulti-AgentNegotiationApproach forAirlineOperationControl 379
Intelligent Environments 2019
Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Title
- Intelligent Environments 2019
- Subtitle
- Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Authors
- Andrés Muñoz
- Sofia Ouhbi
- Wolfgang Minker
- Loubna Echabbi
- Miguel Navarro-CĂa
- Publisher
- IOS Press BV
- Date
- 2019
- Language
- German
- License
- CC BY-NC 4.0
- ISBN
- 978-1-61499-983-6
- Size
- 16.0 x 24.0 cm
- Pages
- 416
- Category
- Tagungsbände