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Home >Food Processing: Techniques and Technology > Archive > Volume 55, Issue 1, 2025 > Technological Management of Resource Saving in Sugar Beet Production Using Statistical Modeling
ISSN 2074-9414 (Print),
ISSN 2313-1748 (Online)

Technological Management of Resource Saving in Sugar Beet Production Using Statistical Modeling

Mizanbekova Salima a
,
Bogomolova Irina b
,
Vasilenko Irina b
,
Shatohina Natalia b
Affiliation
a Казахский национальный аграрный исслед овательский университет, Алматы
b Воронежский государственный университет инженерных технологий, Воронеж
Copyright ©Mizanbekova et al. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0. (http://creativecommons.org/licenses/by/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.
DOI: http://doi.org/10.21603/2074-9414-2025-1-2561
Abstract
Information technologies and statistical modeling have become an inherent part of technological management in sugar beet production. They provide a comprehensive analysis of all industry processes, as well as make it possible to implement technological socio-economic measures and identify problem areas and risks. The article describes the technological efficiency of resource-saving processes based on economic and mathematical methods. The study focused on the domestic sugar beet production; the R&D was tested at an enterprise in the Central Federal District of the Russian Federation. It involved standard research methods, as well as expert assessment, historical retrospective, and economic and statistical modeling. The linear multiple regression model and the technological efficiency calculation model supported the empirical results. Better equipment and technology reduce fuel consumption without implementing high-cost energy saving projects and increase the efficiency of beet processing (+32%). In addition, they reduce the resource intensity of limestone (~23%), fuel (~18%), and auxiliary materials (~14%). The calculation model can be used to strategize the industry management and assess the efficiency of factory shifts. The model promptly identifies threats of technological disruption and allows for a real time comparative analysis.
Keywords
Sugar beet production, mathematical modeling, informatization and improvement of technological processes, efficient production, resource conservation
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