Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: IV International Conference on Advances in Science, Engineering and Digital Education (ASEDU-IV 2024) ; Navoi, Uzbekistan; Navoi, Uzbekistan
Год издания: 2025
Идентификатор DOI: 10.1063/5.0257058
Аннотация: The Durbin-Watson criterion is a powerful tool for estimating autocorrelation in regression model residuals. Its research within the CANARSPI system for product quality control is explored in this article. CANARSPI is a system designed to ensure high-quality products from the initial design stage through production. The system can Показать полностьюevaluate the autocorrelation in the residuals by utilizing the Durbin-Watson criterion. Autocorrelation indicates the presence of potential issues or instability in the production processes. This early detection allows for proactive quality control, enabling manufacturers to make data-driven decisions and implement necessary improvements. The detailed analysis provided enhances the effectiveness of the CANARSPI system by the Durbin-Watson criterion so resulting in higher-quality products and a more efficient production process ultimately. Combination of statistical analysis and quality control systems showcases a promising approach to maintaining high standards in manufacturing.
Журнал: Proceedings of the IV International Conference on Advances in Science, Engineering and Digital Education: ASEDU-IV 2024
Выпуск журнала: 3268, Issue 1
Номера страниц: 040037
Место издания: Melville