Mathematical Method for Optimising the Transport and Logistics Industry

The aim of the work is to create a concept for the development of intelligent transport systems (ITS) to improve the efficiency of transport services. The scientific and practical value of the results lies in the use of multi-criteria analysis of the impact of ITS services on improving the efficiency of transport services and in the development of practical recommendations for the use of ITS services in transport systems. In this paper a method for process optimization has been developed, taking into account dynamically changing states of the system and several performance criteria. The principles of dynamic intelligent system with its inherent properties are developed. The scheme of management in transport and logistics system is composed. The principle of decision making in the dynamic system of the third type is formed. Three basic types of dynamic expert systems are considered. Comparisons with conventional combinatorial methods have been made, where clear advantages of the dynamic method have been identified