Development of functional algorithms and a conceptual model of an information and analytical system to support the management of the regional agro-industrial complex

The article discusses the possibilities of using digitalization tools in the organization and optimization of management systems for the regional agro-industrial complex. The main tasks and functions of the designed system are described in terms of constructing optimization models to support decision-making at agricultural enterprises. The structure of the top-level conceptual model of the developed system is presented, which contributes to solving the problems of automating the collection and processing of heterogeneous data and generating reports based on the results of analyzing the obtained values. Based on the use of an object-oriented approach in UML 2.0 notation, a use case diagram was developed to formalize options for user interaction with system modules. The main user categories of the system are identified. The integration of the reporting module, including standard templates approved at the legislative level of the Russian Federation (17 forms for the main indicators of agricultural production), is demonstrated. Step-by-step development of functional algorithms and conceptual model and construction of structural and behavioral models for detailed display of information and logical models of the designed management support decision-making system in the regional agro-industrial complex is carried out. The efficiency of introducing automated integrated tools at enterprises of various scales and levels of production organization is estimated at 53%. The implementation of the system we propose can significantly help in solving the problems of automation and optimization of the existing management structure, and also allows reducing production costs, minimizing the use of labor resources and ultimately helps ensure the implementation of the activities stated in the National Program “Digital Economy of the Russian Federation” in terms of implementation departmental project “Digital Agriculture”..