INTELLECTUAL CONTROL OF LOGISTIC PROCESSES USING GENETIC ALGORITHMS

Abstract

Global business digitalization entails the automation of a large number of business processes, both key and auxiliary. This trend is becoming a defining factor in the global BPM market. Intelligent systems for automating business processes cover not only the corporate segment of large corporate business, but quickly penetrate into medium-sized businesses and find application in government agencies. A strategic guideline in the digitalization of flow control is an innovative approach, which should be systematic. The proposed concept of digitalization of logistics processes is implemented on a heuristic basis, which corresponds to the permanence of the transition from traditional management of complex systems to logistics management and is determined by the degree of penetration of logistics management to all levels. The use of precise methods to optimize transportation cannot be implemented due to the difficulty of taking into account the external parameters and time constraints imposed by the dimension of the problem. The heuristic approach to which the genetic algorithm belongs is considered