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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 enormous site visitors at airports, the true problem is how one can react to unforeseen occasions that could reason plan-disruptions, resulting in flight delays.

Moreover those disruptive occasions frequently have an effect on a minimum of 3 varied dimensions of the location: the airplane assigned to the flight, the staff project and infrequently forgotten, the passengers’ trip and satisfaction.

This publication 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 facets of the problem.

Negotiation protocols happening among brokers which are specialists in fixing the several challenge dimensions, mixture of other software features and never less significant, the inclusion of the human within the computerized decision-making loop make MASDIMA, the method defined during this publication, compatible for real-life plan-disruption administration applications.

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Example text

Most of the time they use rules-of-thumb, a kind of hidden knowledge, to solve the problems. , the information available, might change often and unexpectedly making it very dynamic. • Sixth Observation The information system available for the users in the AOCC that have to find solutions to the problems, provides only operational information, that is, information that is necessary for the operation to be performed (for example, aircraft status and maintenance, crew data related with licenses, qualifications and roster).

To perform tasks, agents calculate the marginal cost based on their local criteria and the contractor selection is made based only on that cost. It is this price-based mechanism that extends the original CNP to allow competitive and cooperative agents. Additionally, the cluster of tasks is negotiated as if they were subject of a single proposal. The original CNP could only deal with a task at a time and, as such, ignoring the fact that it often happens that the effort of executing a task also depends on the execution of other tasks.

In the supply chain domain (Ji & Zhu, 2008), developed a mathematical model to offer decision making support for adopting reasonable disruption management strategies. , 2011). The goal is to define a new route after a vehicle break down. The authors apply two Tabu Search algorithms (Glover, 1989, 1990) and compare their results with those obtained by using an exact algorithm. In the manufacturing industry domain (Leit˜ao, 2011) a holonic disturbance management architecture on the ADACOR1 foundations is introduced.

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