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Эффективность предпринимательских решений в оптимизации технологических процессов производства бетонных изделий

Эффективность предпринимательских решений в оптимизации технологических процессов производства бетонных изделий

Abstract

The effectiveness of modern production management depends on the methods and technical means of product quality control at all stages of the creation process. The solution of problems of quality management and optimization of technological processes is achieved through automation and implementation of appropriate systems. The key condition for the successful solution of these tasks is the provision of automatic control systems for the parameters of technological processes - chemical, physical and other characteristics necessary for optimal process control. Currently, the production of concrete of various grades is a widely developed industry, both in Russia and abroad. The production of concrete includes several key components - cement, sand, crushed stone, water and special additives (plasticizers), which are mixed in certain proportions. Of all these components, cement and water are the most important, since the ratio between them determines the strength of concrete, as well as its properties, such as frost resistance and water resistance. These parameters have a significant impact on the price of concrete as a finished product. The analysis of risks associated with the management decision to expand the production of concrete of various grades is becoming increasingly relevant in the light of the constant appearance of new concrete grades from various manufacturers. Understanding the influence of the composition of concrete on its properties is a key aspect in making effective decisions in this area. In this article, the author examined the effectiveness of entrepreneurial solutions in optimizing the technological processes of concrete products production. The methodological basis was the special literature.

Эффективность управления современным производством зависит от методов и технических средств контроля качества продукции на всех этапах процесса создания. Решение задач управления качеством и оптимизации технологических процессов достигается через автоматизацию и внедрение соответствующих систем. Ключевым условием успешного решения этих задач является обеспечение систем автоматического управления параметрами технологических процессов – химическими, физическими и другими характеристиками, необходимыми для оптимального управления процессами. В настоящее время производство бетона различных марок является широко развитой отраслью, как в России, так и за рубежом. Производство бетона включает несколько ключевых компонентов - цемент, песок, щебень, вода и специальные добавки (пластификаторы), которые смешиваются в определенных пропорциях. Из всех этих компонентов цемент и вода являются наиболее важными, поскольку соотношение между ними определяет прочность бетона, а также его свойства, такие как морозоустойчивость и водонепроницаемость. Эти параметры имеют значительное влияние на цену бетона, как готового продукта. Анализ рисков, связанных с управленческим решением о расширении производства бетона различных марок, становится все более актуальным в свете постоянного появления новых марок бетона от различных производителей. Понимание влияния состава бетона на его свойства является ключевым аспектом в принятии эффективных решений в данной сфере. В данной статье автором была рассмотрена эффективность предпринимательских решений в оптимизации технологических процессов производства бетонных изделий. Методологической основой послужила специальная литература.

Keywords

бетонные изделия, бетон, предпринимательство, производство бетонных изделий, оптимизация процессов

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green