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Bi-objective optimization for multimodal transportation routing problem: the case of the Belt and Road Initiative

Nardi, Céline
(2020)

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Nardi_39931500_2020.pdf
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Nardi_39931500_2020_Gurobipycode.pdf
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Details

Supervisors
Agrell, Per Joakim ; Lejeune, Christophe
Faculty
Louvain School of Management
Degree label
Master [120] en ingénieur de gestion
Abstract
The Belt and Road Initiative (BRI) was launched in 2013 to boost Chinese economy. Given the scale of the project and its importance (131 countries, 30 international organisations, TEU imports from China to Europe amounting to 200,000 by rail in 2017 and 10 million by sea in 2016), this paper aims to analyse the BRI in a routing planning perspective using an intermodal cost-time bi-objective optimization model. The purpose is to see the impact of cost-time trade-off and the BRI-related topics on the routing planning decisions. An intermodal freight transportation problem is addressed because it falls within the scope of the new and current global society issues. In this paper, road, rail and maritime transports are considered as they correspond to most BRI projects. Before using a bi-objective model, the concepts of Multi-Objective Optimization and Pareto optimality are explained. The BRI routes from China to the European Union are analysed via a simulation network. A new network and dataset are built and derived from both primary and secondary data. The contribution of this paper to the literature is plural: up-to-date literature review, new research field and case study, current topic, new data, decision-making support by analysing a concrete case study of the BRI in light of the Pareto optimality and providing insights on the relationship between transportation modes and routes, and the travel total cost and time.