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Advisor(s)
Abstract(s)
O setor dos transportes e logística onde os transitários se inserem, constitui uma vasta rede de indivíduos fulcral para um bom desempenho nos serviços prestados. Com a pandemia da COVID-19 e os seus efeitos a assolar a economia global, verificouse uma enorme escassez no número de contentores disponíveis face à procura do mercado, surgindo assim a necessidade de otimizar o carregamento dos equipamentos disponíveis como forma de evitar desperdícios e maximizar os proveitos em cada exportação. O presente trabalho visa o desenvolvimento de um protótipo com recurso a heurísticas já abordadas para problemas semelhantes e assim aumentar os lucros na Justlog. Para isso, foram criadas um conjunto de restrições que aplicadas em sinergia com o algoritmo GRG Não Linear, visam alocar as caixas em diferentes linhas consecutivas até formar uma parede, e, por conseguinte, essas paredes completarem o contentor. No final, foram apresentados 3 casos distintos nos quais o protótipo foi colocado em prática como forma de testar a sua utilidade, entre os quais foram criadas soluções de parede cujas ocupações rondam os 80% a 90% em situações reais ou de grande heterogeneidade entre caixas. Assim, podemos perspetivar uma grande utilidade futura deste protótipo nas tomadas de decisão relativas a serviços de consolidação de contentores, prestados pela Justlog.
The transport and logistics sector, where freight forwarders are inserted, constitutes a vast network of individuals that is central to a good performance in the services provided. With the COVID-19 pandemic and its effects ravaging the global economy, there was a huge shortage in the number of containers available in the face of market demand, thus creating the need to optimize the loading of available equipment to avoid waste and maximize profits from each export. The present work aims to develop a prototype using heuristics already addressed for similar problems and thus increase profits at Justlog. For this, a set of restrictions were created that, applied in synergy with the Non-Linear GRG algorithm, aim to allocate the boxes in different consecutive lines until forming a wall, and, therefore, the walls complete the container. In the end, 3 different cases were presented in which the prototype was put into practice as a way of testing its usefulness, among which wall solutions were created whose occupations are around 80% to 90% in real situations or with great heterogeneity between boxes. Thus, we can foresee a great future use of this prototype in decision-making regarding container consolidation services provided by Justlog.
The transport and logistics sector, where freight forwarders are inserted, constitutes a vast network of individuals that is central to a good performance in the services provided. With the COVID-19 pandemic and its effects ravaging the global economy, there was a huge shortage in the number of containers available in the face of market demand, thus creating the need to optimize the loading of available equipment to avoid waste and maximize profits from each export. The present work aims to develop a prototype using heuristics already addressed for similar problems and thus increase profits at Justlog. For this, a set of restrictions were created that, applied in synergy with the Non-Linear GRG algorithm, aim to allocate the boxes in different consecutive lines until forming a wall, and, therefore, the walls complete the container. In the end, 3 different cases were presented in which the prototype was put into practice as a way of testing its usefulness, among which wall solutions were created whose occupations are around 80% to 90% in real situations or with great heterogeneity between boxes. Thus, we can foresee a great future use of this prototype in decision-making regarding container consolidation services provided by Justlog.
Description
Keywords
Container Loading Problem Knapsack Crise de contentores Heurísticas de carregamento Consolidação de carga Container Loading Problem Container Crisis Loading Heuristics Cargo Consolidation