Application of BI-Principles in the Gate Project Management System to Create a Digital Twin of the GTE
DOI:
https://doi.org/10.14529/ctcr200102Keywords:
system model, production content, formal metalanguages, subject area, analytical data processing, information retrieval system, multidimensional data classifier, business process modelAbstract
Introduction. Currently, the Industry 4.0 concept integrates modern methodologies and practices for strategic and operational management of industrial enterprises and economies into the digital economy. It involves a wide and deep digitalization of physical and virtual objects, their connections, processes with the further possibility of their analytical analysis.
Goal of the study. Analysis of the requirements for the degree of formalization of the description of the digital twin of the production system using graphoanalytic metalanguages classified according to the Chomsky hierarchy. Materials and methods. It is proposed to use a set-theoretic and categorical approach to the classification, identification, traceability and structuring of objects of production systems and their business processes in accordance with the requirements of quality standards.
Results. The article substantiates the relevance of using intelligent business intelligence (BI) systems in the heterogeneous information space of a production system for analytical processing of semantic (content), logical and quantitative information.
Conclusion. Modern organizations are complex systems, information management of which is provided by a wide range of software, a large number of data sources makes it difficult to consolidate data and receive aggregated reports. The use of intelligent business intelligence systems will allow targeted data extraction and analytical analysis. Models of business processes are isomorphically displayed in aggregate data accumulated in information systems. That is, these models are used to structure aggregate data in the required context.
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