| Ano de defesa: |
2019 |
| Autor(a) principal: |
Ivo Paixão de Medeiros |
| Orientador(a): |
Rafael Duarte Coelho dos Santos |
| Banca de defesa: |
Marcos Gonçalves Quiles,
Guilherme Conceição Rocha,
Leonardo Ramos Rodrigues |
| Tipo de documento: |
Tese
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
eng |
| Instituição de defesa: |
Instituto Nacional de Pesquisas Espaciais (INPE)
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação do INPE em Computação Aplicada
|
| Departamento: |
Não Informado pela instituição
|
| País: |
BR
|
| Link de acesso: |
http://urlib.net/sid.inpe.br/mtc-m21c/2019/05.07.17.11
|
| Resumo: |
This thesis introduces agent-based modeling to solve aircraft assignment problem taking into consideration vehicle efficiency in terms of fuel consumption, aircraft health condition, and flight importance. The solution proposed in this thesis assigns aircraft to routes (set of flights), this thesis assumption is that an aircraft performance monitoring system provides information on fuel consumption efficiency and a prognostics and health monitoring system provides information on aircraft components health condition. Aircraft components health condition are aggregated at vehicle level employing a fault tree representation, which represents systems architecture and components interaction that could lead to aircraft unavailability. Such information is used to determine if a vehicle demands no maintenance, opportunistic or mandatory maintenance. In the proposed model, mandatory maintenance demands are hard constraints, and opportunistic maintenance demands are soft constraints. There are two types of agents in our multi-agent system framework, one representing aircraft assignment task and other representing aircraft itself and they interact by following an ascending biding auction procedure in order to perform a competitive equilibrium approach. Three different fleets and flight schedules were considered to simulate six scenarios aiming to validate our approach. |
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