M.A. Kazantsev1, M.E. Pankratov2, I.A. Pinchuk3

1-3 Joint-Stock Company «Special-Purpose Enterprise «Radiosvyaz» (Krasnoyarsk, Russia)

1 mkaz@mail.ru, 2 miroslav-pankratov@mail.ru, 3 pinchuk.ivan@yandex.ru

Problem Statement. Modern radio-electronic enterprises operate in an environment of custom, multi-nomenclature production, where products have complex hierarchical assembly structures and high manufacturing labor intensity. The volume of production data is continuously growing, making it increasingly difficult to monitor plan execution and coordinate processes across different management levels. The effectiveness of planning and order execution control directly depends on the transparency of production dat a, the ability to perform comprehensive analysis, and the timeliness of access to information. Therefore, there is a pressing need to develop and implement software tools for analytical monitoring that can provide comprehensive information on order execution processe s, thereby improving the speed and quality of managerial decision-making.

Objective. To enhance and implement an order monitoring subsystem based on Business Intelligence (BI) technologies, integrated with the enterprise’s existing Automated Production Management System (APMS). The subsystem operates within the Enterprise Information Space (EIS) to control the order execution process by providing consolidated information in near realtime, enabling visual analysis. The work also aims to demonstrate the advantages of an in -house BI solution compared to standard commercial systems when operating within the closed corporate network of a radio-electronic manufacturing enterprise.

Results. A specialized order monitoring subsystem has been developed and implemented as part of the produc tion planning system within the digital landscape of JSC «SPE Radiosvyaz». Within the subsystem, BI analytics has been realized using a wide range of BI tools capable of integrating data from various APMS modules. Analytical approaches are proposed to asse ss production capacity utilization, detect deviations, and forecast risks of order delivery delays.

Practical Significance. The implemented module is designed for employees of the production department and managers of enterprise units. Its use increases th e operational efficiency of production decision -making by providing up -to-date, consolidated analytical information through BI tools. The system allows different users to customize data visualization according to their specific goa ls, creating individual dashboards without overwhelming information flow. The implementation of end-to-end monitoring encourages further automation of production areas that still do not transmit data electronically, contributing to the formation of a unified dig ital production management loop.

Kazantsev M.A., Pankratov M.E., Pinchuk I.A. Extension of the functional capabilities of the production scheduling subsystem through BI analytics. Dynamics of complex systems. 2026. V. 20. № 1. P. 41−49. DOI: 10.18127/j19997493-202601-04 (in Russian).

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