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Systems of Distributed Artificial intelligence for Analysis of Oil Product Transportation processes: Evidence from Russia
International Journal of Simulation and Process Modelling. 2021. Vol. 17. No. 2/3. P. 106–115.
Serova E., Shklyaev D.
At present, the use of Artificial Intelligence (AI) methods and tools is an essential component of management information systems for a company to succeed in a rapidly changing environment. Agent-based modelling systems as systems of distributed AI must be considered nowadays as an obligatory stage of decision-making in Russian oil and gas companies, which use modern information technologies actively. The paper is focused on the description and comparative analysis of system dynamics and agent-based modelling, used for intelligent decision support systems development in transport logistics. The main goal of this research is evaluation of the multi-agent system's role for decision-making processes and management information systems development and creating the model of logistics processes (the processes of oil and oil products transportation, loading, and unloading). The work is based on a generalisation of theoretical researches in this area along with international practices and domestic experience.
Language:
English
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