Abstract

Logistics is an essential industrial sector for the digital transformation. Particularly maritime container logistic processes, which include many regional and global distributed stakeholders and numerous interfaces for data exchange between these parties, will benefit from digitalization. Using real time data about container vessels, truck fleets and containers for process predictions and adaptions will enable more efficient maritime container supply chains. In this paper, a concept for prediction and adaption of suitable cut-off times in maritime container supply chain will be introduced. Dynamic cut-off times at ports instead of static promise several process improvements, e.g. shorter throughput and storage times at container terminals and an increased utilized capacity of completely booked container vessels. Furthermore, the impact of adaptive times on selected process times will be estimated using a sample calculation in this paper.

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