A multimodal transportation network between China and Europe

• Autor(a) principal: Miranda, Mariana Brás de Moura Duarte
• Data de Publicação: 2019
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10071/19663
• topic: Multimodal network; Lead time; Optimal cost solution; Connections; Rede multimodal; Lead time; Solução ótima de custo; Ligações

Organizations and the markets where they act upon are in constant change, therefore, companies have to innovate and adapt to what the market demands, otherwise they will become obsolete and lose their place. Constant innovation and improvement are a must in any business. The present investigation is based on multimodal network transportation, where document analysis is conducted and a research is made concerning transportation connections, modes of transportation, duration, costs, and potential departure and arrival cities. A multimodal network between Chongqing and London is constructed based on the information found within other freight forwarders. To design this network, the methodology used is based on a time-expanded model. The research and results show that based on a thorough research, it is possible to find information on multimodal networks in order to create one. Based on the time-expanded model methodology, the network will be created using information from some articles and also based on some assumptions. Furthermore, feasible solutions are represented within each given lead time, allowing the network to represent several possible connections to go from the origin to the destination during this time. From here, it is possible to determine the most efficient path. This thesis delivers a robust network, with a wide range of important information on costs, durations and weekly frequency on the different modes of transportation. The network methodology allows it to be adjusted to other case, it is flexible, and can be more complex.