Abstract This article investigates economic and operational effects of introducing autonomous vessels to liner shipping networks. By the formulation optimization models, we analyze how fleet configurations with different capacity affect cost service level networks in both static dynamic settings. We implement model a data instance that extends on Baltic trade from conventional vessels. Our resu...

This work expounds on implementing an effective dynamic ðs; SÞ policy to solve a liner shipping refueling and speed determination problem under both bunker prices and consumption uncertainties. While solving an optimization model which incorporates a continuous distribution is extremely challenging, we use sample average approximation method to solve it. However, the resulting problem is still ...

The recent OECD Report calling for a revision of the liner shipping competition rules has met with predictable response from the liner operators. What appears to be lacking in this perennial dilemma is once again the absence of adequate supporting data to make a case for regulatory changes. Furthermore, the present saga appears to be a continuation of the past, reiterating the pros and cons of ...

Whether they thrive as they grow must be determined for all constantly expanding networks. However, few studies have focused on this important network feature or the development of quantitative analytical methods. Given the formation and growth of the global container-shipping network, we proposed the concept of network temporal robustness and quantitative method. As an example, we collected co...