An intelligent container transportation system using novel modelling, metaheuristics and automatic dispatching strategy
Chen, Jianjun (2016) An intelligent container transportation system using novel modelling, metaheuristics and automatic dispatching strategy. PhD thesis, University of Nottingham.
The container transportation problem involves designing routing plans for a fleet of vehicles to accommodate requests from multiple ports. A request is a transshipment activity that involves loading a commodity at the source port and then unloading it at the destination port. This problem is closely related to the classic vehicle routing problem (VRP). This thesis investigates a real-world, multi-shift container transportation problem with a limited fleet size. In this problem, requests are sent from the customs office via declaration forms. Each declaration form contains several container transport tasks that share the same time window, source port and destination port. The time windows for container transportation in this problem can generally span across several shifts, thus container transportations can be arranged at any shift. Delaying some transportations to later shifts may cause the violation of time window constraints. As a result, strategies that prioritise tasks with closer deadline need to be developed to ensure that all tasks can be completed.
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