Methods of product quality control at production sites: modern approaches and development prospects
- Authors: Matyukhina Y.V1
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Affiliations:
- Kaluga branch of Bauman Moscow State Technical University
- Issue: Vol 8, No 2 (2025)
- Pages: 120-126
- Section: ARTICLES
- URL: https://journals.rcsi.science/2658-5286/article/view/377831
- ID: 377831
Cite item
Abstract
the article discusses an important issue related to product quality control at production sites. The author explores modern approaches applied to this topic and analyzes their development prospects in a rapidly changing market. Modern enterprises face the need to ensure the high quality of their products, which directly affects their competitiveness. In this regard, the article focuses on various methods and technologies that are used for quality control at different stages of the production process. This includes both traditional methods and advanced solutions based on new technologies such as automation and the use of artificial intelligence. The author emphasizes that the introduction of such technologies can significantly improve the accuracy and speed of inspections, as well as minimize the human factor, which is an important aspect in maintaining high quality standards. The main objectives are to analyze existing approaches, such as TQM, Six Sigma, and the application of innovative technologies, including artificial intelligence and the Internet of Things, as well as to identify their advantages, disadvantages and prospects for development. The aim is to optimize production processes, reduce costs, improve product quality and competitiveness of enterprises. In conclusion, the author concludes that modern methods of product quality control not only contribute to the sustainable growth and development of production facilities, but are also an important element in the overall context of the development of the entire industry. The application of effective quality control systems becomes an integral part of the strategy of successful operation of enterprises, which allows them not only to meet the requirements of the market, but also to anticipate them.
References
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