Best Practices and Challenges in Diagnostic and Monitoring Methods of Technological Equipment in Manufacturing Processes

In modern manufacturing, the reliability and efficiency of technological equipment, such as machine tools and industrial robots, are critical for competitiveness. This article explores diagnostic and monitoring methods, focusing on best practices like continuous monitoring, predictive maintenance, and self-control systems, which reduce unplanned downtime and optimize costs. It also addresses challenges, including organizational, economic, and technical difficulties, as well as data reliability issues. Practical solutions, such as personnel training and system integration, are proposed to enhance production reliability. The study aims to promote the adoption of these methods in the Georgian industry.

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Publication Details

Journal
GEORGIAN SCIENTISTS
Published
2025-09-16
DOI
https://doi.org/10.52340/gs.2025.07.03.35
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
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article

Best Practices and Challenges in Diagnostic and Monitoring Methods of Technological Equipment in Manufacturing Processes

Givi Sanadze, Pavle Eprikian, Dima Beridze
GEORGIAN SCIENTISTS
Manufacturing Process and Optimization
article

Best Practices and Challenges in Diagnostic and Monitoring Methods of Technological Equipment in Manufacturing Processes

Givi Sanadze, Pavle Eprikian, Dima Beridze
article en

Abstract

In modern manufacturing, the reliability and efficiency of technological equipment, such as machine tools and industrial robots, are critical for competitiveness. This article explores diagnostic and monitoring methods, focusing on best practices like continuous monitoring, predictive maintenance, and self-control systems, which reduce unplanned downtime and optimize costs. It also addresses challenges, including organizational, economic, and technical difficulties, as well as data reliability issues. Practical solutions, such as personnel training and system integration, are proposed to enhance production reliability. The study aims to promote the adoption of these methods in the Georgian industry.

GEORGIAN SCIENTISTS
Ministry of Defence (GB), Georgian Technical University (GE), Information and Communication Technology Agency (LK), Ministry of Defense (IL)
Openalex Percentile: Top 65%
Manufacturing Process and Optimization
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