By António J. M. Castro

ISBN-10: 3662433729

ISBN-13: 9783662433720

ISBN-10: 3662433737

ISBN-13: 9783662433737

Most of the examine efforts facing airline scheduling were performed on off-line plan optimization. even if, these days, with the more and more complicated and enormous site visitors at airports, the genuine problem is find out how to react to unforeseen occasions that can reason plan-disruptions, resulting in flight delays.

Moreover those disruptive occasions often have an effect on no less than 3 diverse dimensions of the location: the airplane assigned to the flight, the team project and sometimes forgotten, the passengers’ trip and satisfaction.

This publication contains solutions to this problem and proposes using the Multi-agent procedure paradigm to speedily compose a multi-faceted strategy to the disruptive occasion bearing in mind 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, mixture of alternative software features and never less significant, the inclusion of the human within the automated decision-making loop make MASDIMA, the approach defined during this booklet, compatible for real-life plan-disruption administration applications.

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Extra info for A New Approach for Disruption Management in Airline Operations Control

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Appendix B - MASDIMA - Costs Information: Provides the information used to calculate the costs regarding the three dimensions of the problem: aircraft, crew and passengers. Part I Background Information Chapter 2 Background Abstract. Chapter 1 introduced the main problem we address through the research reported in this study, including the motivation, research methodology (observations, hypotheses and expected results) and the main contributions of our work. In this chapter we provide some background in-formation regarding the paradigms, concepts and algorithms that were relevant for the research work we have done namely, Multi-Agent Systems, Automated Negotiation, Reinforcement Learning and Problem Solving Algorithms.

5. Knowledge (Knowl) In a negotiation model or protocol, it is related to the knowledge that each agent has to present a complete proposal in the negotiation (by complete we mean to propose values to all attributes that are part of the object of negotiation). If the agent is able to do that alone then it has FULL (F) knowledge. g, engaging in a negotiating with others). 6. e, bilateral or multilateral. 4. We left out protocols that use game-theory and argumentation as their theoretical support.

Chapter 6 - Implementation: This chapter is a continuation of the previous one. We give more details about how we implement our new approach for disruption management in the airline domain. Information about the operational costs used, including direct and quality, are provided. We also show how we apply the decision mechanism referred on the previous chapter as well as the problem solving algorithms we have implemented. 2. We start by describing the experimentation scenarios under analysis as well as the metrics used.

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A New Approach for Disruption Management in Airline Operations Control by António J. M. Castro

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