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Abstract(s)
O tempo de embarque é um dos principais fatores que interferem na gestão e fluidez dos aeroportos, bem-estar de pessoas e a exigência atual do mundo empresarial. Portanto, para reduzir o tempo de embarque, é imperativo repensar os sistemas tradicionais que suportam o embarque de passageiros, tornando-os mais eficientes. Esta redução, para além de beneficiar as companhias aéreas, aeroportos e passageiros, beneficia também em termos económicos, operacionais e de satisfação do cliente. Neste sentido, o trabalho apresentado nesta dissertação procura desenvolver um modelo de simulação, com recurso ao software Arena, que permite analisar o impacto de diferentes estratégias de embarque, verifique a possibilidade de redução dos tempos de embarque e explore situações excecionais como se verifica no atual contexto de pandemia COVID-19. Nas diversas simulações, selecionou-se sete estratégias de embarque incluindo random, back-to-front, outside-in, reverse pyramid, blocks, Steffen e modified optimal. Neste estudo são considerados vários cenários experimentais, analisando o seu impacto nas diferentes estratégias. De uma forma geral, as simulações revelam que as estratégias outside-in e reverse pyramid são as mais eficazes, obtendo uma melhoria de até 20% no tempo de embarque. Além disso, a estratégia back-to-front, que é usada por várias companhias aéreas, é ineficiente. Estas companhias poderão beneficiar de uma melhoria no tempo de embarque até 40%, caso adotem uma das estratégias eficazes descritas nesta dissertação. As simulações realizadas em contexto de pandemia revelam que existe uma margem de progressão de 15% no tempo de embarque, caso seja utilizada a estratégia reverse pyramid, porque permite diminuir o número de interferências entre passageiros. Este é ainda um fator importante para reduzir riscos de infeção entre os passageiros.
Boarding time is one of the major factors that interferes with the management and fluidity of airports, people welfare and the demands in the business world. For that, to efficiently stablish passenger boarding, it is imperative to rethink the traditional systems and reduce the boarding time. This, besides benefiting the airlines, airports and passengers, benefit in turn economical, operational and customer satisfaction terms. Taking this into consideration, the work presented in this dissertation seeks to development of a simulation model, using the Arena software, which allows analysis of the impact of different boarding strategies, verifies the different possibilities in reducing boarding times and explores exceptional situations, such as the current pandemic context COVID-19. In the various simulations, seven boarding strategies were selected including random, back-to front, outside-in, reverse pyramid, blocks, Steffen, and modified optimal. In the present study several experimental scenarios are considered and their impact on different strategies analysed. Overall, the simulations revealed that the outside-in and reverse pyramid strategies provided the best efficient, obtaining an improvement of up to 20% in boarding time. Furthermore, the back-to-front strategy, that is used by many airlines, is inefficient. These companies can benefit from an improvement in boarding time of up to 40% if they adopt one of the efficient strategies described in this thesis. Moreover, simulations carried out in a pandemic context revealed that there is a 15% progression margin in boarding time if the reverse pyramid strategy is used due to the reduction in the number of interferences between passengers. This is an important factor in reducing risks of infection among passengers.
Boarding time is one of the major factors that interferes with the management and fluidity of airports, people welfare and the demands in the business world. For that, to efficiently stablish passenger boarding, it is imperative to rethink the traditional systems and reduce the boarding time. This, besides benefiting the airlines, airports and passengers, benefit in turn economical, operational and customer satisfaction terms. Taking this into consideration, the work presented in this dissertation seeks to development of a simulation model, using the Arena software, which allows analysis of the impact of different boarding strategies, verifies the different possibilities in reducing boarding times and explores exceptional situations, such as the current pandemic context COVID-19. In the various simulations, seven boarding strategies were selected including random, back-to front, outside-in, reverse pyramid, blocks, Steffen, and modified optimal. In the present study several experimental scenarios are considered and their impact on different strategies analysed. Overall, the simulations revealed that the outside-in and reverse pyramid strategies provided the best efficient, obtaining an improvement of up to 20% in boarding time. Furthermore, the back-to-front strategy, that is used by many airlines, is inefficient. These companies can benefit from an improvement in boarding time of up to 40% if they adopt one of the efficient strategies described in this thesis. Moreover, simulations carried out in a pandemic context revealed that there is a 15% progression margin in boarding time if the reverse pyramid strategy is used due to the reduction in the number of interferences between passengers. This is an important factor in reducing risks of infection among passengers.
Description
Keywords
Estratégias de Embarque Gestão de Aeroportos Simulação Pandemia Boarding Time Airport Management Simulation Pandemic