By António J. M. Castro
Most of the study efforts facing airline scheduling were performed on off-line plan optimization. in spite of the fact that, these days, with the more and more advanced and large site visitors at airports, the genuine problem is the right way to react to unforeseen occasions which could reason plan-disruptions, resulting in flight delays.
Moreover those disruptive occasions frequently have an effect on no less than 3 various dimensions of the placement: the plane assigned to the flight, the staff task and infrequently forgotten, the passengers’ trip and satisfaction.
This e-book contains solutions to this problem and proposes using the Multi-agent procedure paradigm to swiftly compose a multi-faceted option to the disruptive occasion considering attainable personal tastes of these 3 key points of the problem.
Negotiation protocols occurring among brokers which are specialists in fixing the various challenge dimensions, mix of other application services and never less significant, the inclusion of the human within the computerized decision-making loop make MASDIMA, the method defined during this ebook, like minded for real-life plan-disruption administration applications.
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Extra info for A New Approach for Disruption Management in Airline Operations Control
2. e, one-toone (1-1), one-to-many (1-M), many-to-many (M-M). 3. e, single (S), multidimensional with independent dimensions (M) or multidimensional with interdependent dimensions (M-Interd). In this latter case it means that the protocol or negotiation model is able to deal with the interdependencies between attributes. 4. , 2006), ”The fundamental distinction between systems labeled as cooperative or competitive is that for the former the agents are designed to have as goal the maximization of a group utility.
M. P. Rocha, and E. 1007/978-3-662-43373-7_2, c Springer-Verlag Berlin Heidelberg 2014 15 16 2 Background ing the study we have performed, the observations made and the personal knowledge we have about how Airline Operations Control Centers (AOCC) are structured, we found MAS to be a natural metaphor for this type of organizations. Additionally, as we state in Chapter 1, MAS displays a set of characteristics (Wooldridge, 2009a; Elamy, 2005) that will support proposing a Distributed and Decentralized approach to an Integrated and Dynamic disruption management system for airline operations control.
Considering the hypotheses we have formulated in the previous section we expect to get the following results. • Regarding the first hypothesis we expect to obtain a MAS Architecture that allows to: 1. Distribute roles by agents according to the dimension of the problem (aircraft, crew and passenger) and required expertise (functional distribution), contemplating at the same time, the individual goals and preferences leading to decentralization (autonomy and privacy). 2. Distribute data by different databases (spatial distribution).
A New Approach for Disruption Management in Airline Operations Control by António J. M. Castro