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Registration Number

0225U000010, (0121U109155) , R & D reports

Title

Modeling of information-analytical system of quality control of production process

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Моделювання інформаційно-аналітичної системи контролю якості процесу виробництва продукції

Head

Kryvoruchko Olena V., Доктор технічних наук

Registration Date

02-01-2025

Organization

Kyiv National University of Trade and Economics

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Improving the efficiency of support at the target level of indicators and forecasting the quality of the production process through the use of neural network and intelligent systems based on modern information technologies.

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 The research is dedicated to improving the efficiency of quality control in the production process through the development and implementation of an information-analytical system. This system is based on modern methods of modeling and data analysis, neural network technologies, and intelligent systems, which will enhance product quality, optimize production processes, and reduce costs in enterprises across various industries. The relevance of the topic is driven by the necessity to implement modern approaches to quality control in the production process due to rapid technological progress, the spread of Industry 4.0, and high market competition, which demands continuous improvement in production efficiency and quality from enterprises. The object of the research is information technology used for controlling and ensuring the quality of the production process. The subject of the research is models, methods, and information technologies for analyzing, monitoring, and forecasting the quality of the production process, as well as for making managerial decisions aimed at improving production efficiency. The aim of the work is to enhance the efficiency of maintaining target quality indicators and forecasting the quality of the production process through the use of neural network and intelligent systems based on modern information technologies. Research methods include theoretical and empirical approaches, structural analysis, modeling (both graphical and mathematical), hierarchy analysis, and decomposition. A review of domestic and foreign sources and publications on scientific research topics was conducted, identifying the essence of key concepts in this field. An analysis of existing concepts, methods, and models, which formed the basis for the development of information technologies to improve the quality control process in production, was also performed.

Product Description

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Bebeshko Bohdan T.
Bushkov Valerii H.
Viktorov Vladyslav V.
Vlasenko Lidiia O.
Haiduk Oleh V.
HNATCHENKO Dmytro D.
Hnatchenko Tetiana O.
Desiatko Alona M.
Zakharov Rostyslav H.
Zvieriev Volodymyr P.
Karpunin Ihor V.
Kondratiuk Serhii S.
Kostiuk Yuliia V.
Kryvoruchko Оlena V.
Liahera Anastasiia A.
Mirko Ihor V.
Moskalenko Volodymyr V.
Palahuta Kateryna O.
Savon Oleksii Ye.
Savchenko Tetiana V.
Sashnova Mariana V.
Fedotov Serhii O.
Khavikova Yuliia I.
Tsiutsiura Mykola I.
Tsiutsiura Svitlana V.
Chernyshova Daryna D.
Shestack Yaroslav I.
Shchannikov Hryhorii R.
Yaremych Valentyn R.

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2025-01-02