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РецензированоRU2024

МЕТОД СЛОЕВ ДАННЫХ И ДИАГРАММ РАССЕЯНИЯ ПОДДЕРЖКИ ПРОЕКТОВ В СИСТЕМЕ УПРАВЛЕНИЯ КАЧЕСТВОМ И СЕРТИФИКАЦИИ

Qo'shmanov Ergash Murodboy o'g'li · Embergenova Nilufar Polatbayevna (Faculty of Physics, Department of Electrical Engineering and Metrology,)

Современная наука и исследования · 3 · 2024

Аннотация

This paper explores the application of date layers and scatter diagrams within the framework of quality management and certification projects. Date layers offer a visual representation of project timelines, facilitating planning, tracking, and analysis. Scatter diagrams provide insights into relationships between variables, aiding in the identification of patterns and correlations crucial for quality improvement and certification processes. Integrating these tools enhances organizational performance monitoring, identifies areas for improvement, and fosters compliance with quality standards. Keywords: Date layers, Scatter diagrams, Quality management, Certification projects, Project planning, Performance monitoring, Quality improvement, Compliance. МЕТОД СЛОЕВ ДАННЫХ И ДИАГРАММ РАССЕЯНИЯ ПОДДЕРЖКИ ПРОЕКТОВ В СИСТЕМЕ УПРАВЛЕНИЯ КАЧЕСТВОМ И СЕРТИФИКАЦИИ Аннотация. В данной статье исследуется применение слоев данных и диаграмм разброса в рамках проектов управления качеством и сертификации. Слои данных обеспечивают визуальное представление сроков проекта, облегчая планирование, отслеживание и анализ. Диаграммы разброса дают представление о взаимосвязях между переменными, помогая выявить закономерности и корреляции, имеющие решающее значение для процессов повышения качества и сертификации. Интеграция этих инструментов улучшает мониторинг эффективности организации, определяет области для улучшения и способствует соблюдению стандартов качества. Ключевые слова: слои данных, диаграммы разброса, управление качеством, проекты сертификации, планирование проекта, мониторинг производительности, улучшение качества, соответствие требованиям. Using this method, statistical data is stratified, that is, data is collected and grouped depending on the conditions of individual processing of each group. The process of dividing data into pencils and layers grouped by their characteristics is called stratification. There are several layering methods, and in practice the 5M method is often used, taking into account factors related to man (person), machine (machine), material (material), method (method), measurement (measurement). Layers are applied as follows: - stratification by performers - by qualifications, length of service, shifts and other information; 9 70 International scientific journal ISSN: 2181-3906 «MODERN SCIENCE АND RESEARCH» 2024 VOLUME 3 / ISSUE 3 / UIF:8.2 / MODERNSCIENCE.UZ -classification of machinery and equipment - by brand, manufacturer, design and other information; - stratification by materials - by place of production, price, quality of raw materials and other information; - stratification by production features (methods) - by technological development, place of production and other information. During the layering process, the following conditions should be taken into account: - the value of mutual differences of random variables within a layer (variance) should be as small as possible compared to its differences in the original unstratified set; - the difference between the layers (the mutual difference in the average random value of the sizes of the layers) should be as large as possible. Scatterplot method Another name for the method is “Scatter plot”, “Correlation plot”. In 1979, the Association of Japanese Scientists included the scatterplot as one of its seven quality control methods. The task of the method. It is used at various stages of the product life cycle and in production to determine the interdependence of the main production factors and quality indicators. The scatter plot method is one of the tools for statistical quality control (Fig. 15.4). The purpose of the method. Define a description of the relationship between two different process parameters and determine whether the relationship exists. The essence of the method. A scatterplot is a tool that allows you to determine the type and strength of relationship between two significant variables. These two variables: -description of quality and factors influencing it; - two different quality descriptions; - two factors influencing one description of quality. If there is a relationship between two factors, this significantly facilitates process management both from an economic and time-based technological point of view. Scatter plots are used in the quality control process, as well as to determine cause-and- effect relationships and factors affecting quality indicators. Action plan. To clarify the influence of one variable on another, it is necessary to collect the necessary data and enter it into the registration sheet. Based on the data obtained, a scatter diagram is constructed and the diagram is analyzed. Sometimes it is desirable to quantify the degree of correlation or strength of correlation between random variables. The uniqueness of the method. A scatterplot is a scatter plot that graphically represents the points obtained from an observation made by plotting the scale of a particular experiment. The coordinates of the points on the

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Date layers, Scatter diagrams, Quality management, Certification projects, слои данных, соответствие требованиям., мониторинг производительности, улучшение качества, проекты сертификации, планирование проекта, управление качеством, Quality improvement, Project planning, Compliance., диаграммы разброса, Performance monitoring
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