SIBUR scaled up the ECONS digital platform for performance management at six of the holding’s enterprises: Voronezhsintezkauchuk, SIBUR-Kstovo, SIBUR-Neftekhim, SiburTyumenGaz, Polyef and Sibur-PET. The digital construction platform complements the capabilities of the main ECONS product, which in 2021 brought the holding more than 1.5 billion rubles. This was reported to CNews by representatives of SIBUR.
The ECONS product allows operators of industrial plants to evaluate how the mode of the technological process they have chosen affects the economic efficiency of production. ECONS is based on precise mathematical models that calculate indicators online and display them on digital panels.
Technological parameters are displayed on the panels in the form of speedometers with “red” and “green” ranges, which provides ease of perception and user comfort.
The ECONS digital platform is implemented as a constructor, and thanks to this, production technologists can determine the content of the panels themselves – configure the configuration of indicators and the logic for their calculation, deviation parameters, as well as create and configure deviation notification routes.
Thus, the platform complements the capabilities of the main ECONS product, which is already operating at all SIBUR production sites. Its scaling in 2021 brought the holding more than 1.5 billion rubles. economic effect.
At the same time, ECONS allows not only to increase economic efficiency, but also to reduce the company’s impact on the environment – thanks to the system, operators more effectively control the cost of raw materials and thus reduce the volume of by-products of processing, including CO2.
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In the next two or three years, SIBUR will continue to implement the system at its enterprises, including production facilities in Tatarstan, which became part of the holding in 2021.
SIBUR is a Russian polymer and rubber company. In 2017, SIBUR announced a large-scale digital transformation that provides the company with a new level of efficiency through the use of big data for decision-making, digitalization and robotization of processes, and the use of tools from the Industry 4.0 area.