Systematic approach to providing intelligent decision support whilst digital transformation of management processes in agro-industrial complex

Modern economic conditions, characterized by digitalization processes and the influence of geopolitical factors contributing to the development of domestic information technologies have made the issue of providing support for management decision-making by specialized systems important. In this regar...

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Veröffentlicht in:BIO web of conferences 2024-01, Vol.108, p.22005
Hauptverfasser: Bolodurina, Irina, Rakhmatullin, Rustam, Speshilov, Evgenij
Format: Artikel
Sprache:eng
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Zusammenfassung:Modern economic conditions, characterized by digitalization processes and the influence of geopolitical factors contributing to the development of domestic information technologies have made the issue of providing support for management decision-making by specialized systems important. In this regard, the purpose of the study is to analyze the logistics of information flows and identify problems associated with the digital transformation of management processes in the agro-industrial complex (AIC). A systematic approach was chosen as the main method. The logical analysis and synthesis were used as well. Based on the identified movements and interrelations of information flows, and limiting factors for its effective use, an automated information and analytical decision support system (AIASDSS) is proposed in the context of a unified digital platform. Its components are described and principles of operation are formulated. In the focus is the creation of an information platform module oriented mainly on agricultural producers who occupy a central place in the agro-industrial complex. It is noted that work is underway to ensure the intellectualization of decision-making processes in agricultural organizations through the use of mathematical, statistical and information tools. Particular solutions are given. The research materials are addressed to authorities and can be used in managing agricultural production.
ISSN:2117-4458
2117-4458
DOI:10.1051/bioconf/202410822005