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Управление процессами морской логистики в нефтяной отрасли: анализ и совершенствование с помощью агентно-ориентированных имитационных моделей
Intelligent business transformation — one of the main directions of qualitative development within modern economy. The analysis of the problems associated with the progressing of the theory and practice of maritime logistics in the oil industry, especially in the last decade, is carried out taking into account the application of a systems approach and modern intelligent systems, distributed artificial intelligence systems. As a result of the 4th industrial revolution technologies integration into the oil industry, such as artificial intelligence (AI), 5G, cloud computing, IoT, and the constant development of the eco-system of AI applications, it is going the evolving of the industry and expanding business opportunities for innovation. Resources such as oil and gas are associated with government regulation and life support of the population, so all the supply chain links must meet the requirements of effective management and ensuring a high level of competitiveness. Artificial intelligence is an important strategic technology that allows the oil industry to respond promptly to ongoing changes in logistics flows and efficiently manage them. One of the most effective ways to solve managerial problems of multifunctional logistics is application of methods and systems of modeling, first of all, multi-agent systems (MAS), belonging to the class of distributed artificial intelligence systems. Despite the abundance of researches on the theory and methodology application of different modeling approaches and systems in maritime logistics, the most effective and correct ways of their application are constantly being searched. The article is devoted to the consideration of issues related to the application of simulation in maritime logistics in the oil industry, in particular, agent-based modeling.