Shuaian Wang

TL;DR: In this article, the authors first calibrates the bunker consumption and sailing speed relation for container ships using historical operating data from a global liner shipping company and then investigates the optimal sailing speed of container ships on each leg of each ship route in a liner shipping network while considering transshipment and container routing.

TL;DR: Research on containership routing and scheduling lags behind practice, especially in the face of the fast growth of the container shipping industry and the advancement of operations research and computer technology, so this paper is to stimulate more practically relevant research in this emerging area.

TL;DR: In this paper, the authors proposed a liner shipping service network design problem with combined hub-and-spoke and multi-port calling operations and empty container repositioning, which can be efficiently solved by CPLEX for real-case problems.

TL;DR: In this paper, a mixed-integer nonlinear stochastic programming model is developed for the proposed liner ship route schedule design problem by minimizing the ship cost and expected bunker cost while maintaining a required transit time service level.

TL;DR: It is found that the original application of AIS data to navigation safety has, with the improvement of data accessibility, evolved into diverse applications in various directions, and it is expected that more multi-disciplinary AIS studies will emerge in the coming years.