Digital transformation has a significant impact on the development of such an important sector of the economy as logistics. All major economic trends are traced in logistics, and basic digital technologies are already being used. At the same time, there are certain obstacles to the effective development of digital logistics. For example, there is a lack of informational integration of supply chains. This article systematizes information about the state of digital transformation in logistics, about the main trends, applied technologies, analyzes it, simulates the digital logistics ecosystem, identifies stakeholders, drivers of digital logistics transformation, requirements for the development of the industry. Based on this, the main lines of action to improve the efficiency of logistics activities in the context of digital transformation are formulated. The implementation of the proposed actions requires the integrated use of technology and a specialized mathematical apparatus. The integrated actions of participants in the digital logistics ecosystem will ensure the required role of logistics in integrated economic development.

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In order to accommodate the growing intercontinental container transport, port facilities have to be up-scaled drastically. The challenge is to develop facilities that can handle a new generation of ships, the jumbo container vessels, with a capacity of 8,000 TEU (Twenty-foot Equivalent Unit) or more. The total in-port time to serve these jumbos is set at 24 hours. This amounts to almost double the loading/unloading flows that can be achieved at present. These flows cannot be met by the present quay transport. In this study the modeling of a quay transport system which is carried out by automated guided vehicles (AGVs) is described. The model is applied to the current Delta Sealand container terminal (DSL) of ECT Rotterdam to obtain some degree of reference.

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The past decade saw many novel concepts for last-mile delivery. Particularly interesting is the concept in which trucks dispatch -from designated points -drones or robots that do the actual delivery. Generally, the role of the truck driver is underexposed. This paper proposes a last-mile delivery concept in which a truck carries a mixed fleet of drones and robots, and where the driver also has an active role in the delivery process. Our aim is to efficiently align the service time required by the truck driver with the back-and-forth delivery times of the drones and the robots. To this end, we design a street delivery model using continuous approximation. We evaluate our approach using a flexible and reusable simulation model to enable tactical decision-making for logistics service providers to determine which neighborhoods are suitable for drones, street robots, or combinations, in terms of makespan and energy consumption.