Using intelligent solutions to improve logistics processes

Transport logistics in modern conditions includes more and more intelligent elements that improve both physical objects and optimize processes, using technologies of communication means, the Internet of things, and data analysis,. One of the processes that is implemented in the logistics chain is the loading and unloading process. The implementation of this process is especially relevant when delivering goods to shopping centers located in cities. To optimize loading and unloading processes, simulation models are used that allow not only to reduce the waiting time of trucks in the queue for unloading, but also to increase the efficiency of the entire process, as well as reduce the impact on the environment, which is extremely important in cities, and especially megacities. The article provides a practical example of using such a model, an optimization experiment was conducted and the achieved efficiency is shown.