Multidimensional sustainable vehicle routing problem (original) (raw)

Although urban freight transportation plays an important role in economic growth, it also constitutes one of the largest sectors generating more externalities which include social and environmental impacts such as pollution, depletion of natural resources and accidents. Also, this sector deals with a high level of stochasticity in customer dependent and time related information. Given its key role in development, smart approaches for designing sustainable and robust routes are needed. This thesis focuses on the economic, environmental and social sustainability impacts of urban freight transportation. In order to investigate and address these problems, some novel optimisation models as well as efficient algorithms and methods to handle this complex rich problem are developed and implemented. In this thesis, some original contributions are proposed. First, an extension of the deterministic sustainable vehicle routing problem with economic and environmental objectives and three algorit...