Logistics Optimization of Agricultural Products Supply to the European Union Based on Modeling by Petri Nets

Abstract

The using of digital logistics, based on intensive developments of smart technologies, into the system of product supply allows achieving optimal conditions for a certain period with the expected efficiency level. At the same time, it is necessary to consider increasing demand trend for these services in the sphere of agro-products supply from Ukraine to European Union markets. The use of “smart systems, “Internet of Things” (IoT), big data allows to quickly obtain info from hardware and other drives: technical tools installed on trucks, containers, ships, for operational monitoring and control of technological processes, as well as for making accurate forecasts. The presented supply system is distributive and parallel working with asynchronous interactions. Therefore, it is proposed to use the type of Petri nets - CPN tools to study systems behavior in enough depth and to obtain information about their most important characteristics. Models developed based on Petri nets have shown that in addition to clarity and simplicity in application, they allow considering various probabilistic factors. This fact allows us to simulate, analyze and predict works for all system participants according to promptly calculated values for each specific management object.