ISSN:
2181-3906
2024
International scientific journal
«MODERN SCIENCE АND RESEARCH»
VOLUME 3 / ISSUE 3 / UIF:8.2 / MODERNSCIENCE.UZ
970
METHOD OF DATA LAYERS AND SCATTER DIAGRAMS SUPPORTING
PROJECTS IN THE SYSTEM OF QUALITY MANAGEMENT AND CERTIFICATION
Qo'shmanov Ergash Murodboy o'g'li
Faculty of Physics, Department of Electrical Engineering and Metrology,
intern training.
Embergenova Nilufar Polatbayevna
Faculty of Physics, Metrology, Standardization and Quality Management,
4-year student
https://doi.org/10.5281/zenodo.10895484
Data layering method
Abstract.
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;
ISSN:
2181-3906
2024
International scientific journal
«MODERN SCIENCE АND RESEARCH»
VOLUME 3 / ISSUE 3 / UIF:8.2 / MODERNSCIENCE.UZ
971
-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 graph correspond to the value of the observed value and the factors
influencing it. The arrangement of dots indicates the relationship and description of two variables
(for example, gas mileage and speed, or output and production hours).
ISSN:
2181-3906
2024
International scientific journal
«MODERN SCIENCE АND RESEARCH»
VOLUME 3 / ISSUE 3 / UIF:8.2 / MODERNSCIENCE.UZ
972
Based on the obtained experimental points, it is possible to determine numerical
descriptions of the relationship of random variables, i.e. correlation coefficient and regression
coefficients.
Figure 15.4. Scatter (scatter) diagram.
Rules for constructing a scatterplot:
1. It is necessary to determine which pairs of data and descriptions are interrelated. It is
better to have at least 25-30 pairs of data.
2. Preparation of a tabular form (registration sheet) for data collection, indicating the serial
number of the i-th observation in the columns; descriptions of independent variables known as x
arguments; is intended to note the dependence of variables called function (reaction) y.
3. Filling out the data registration form based on the monitoring results.
4. Based on the obtained data, a graph of x-y coordinates is constructed and the data is
placed on it. The length of the axes should be equal to the maximum and minimum x and y values,
and the vertical and horizontal axes should be the same for the chart to be easy to read.
5. The diagram contains all the necessary symbols. The information displayed on the
diagram should be understandable not only to the person who compiled the diagram, but also to
any person.
А. Тўғри корреляция
Б. Тескари корреляция
В. Корреляция мавжуд эмас
Г. Эгри чизиқли корреляция
ISSN:
2181-3906
2024
International scientific journal
«MODERN SCIENCE АND RESEARCH»
VOLUME 3 / ISSUE 3 / UIF:8.2 / MODERNSCIENCE.UZ
973
In this case, the characteristics y (function) remain stable while controlling the causal
factors x (reactions).
Additional Information:
It is important to note that just because two variables appear to be related does not mean
they are.
Just because the data appears to be related does not mean that it is not related, i.e., there is
only so much data presented, or the data is divided into classes and each class has its own chart
and large measurement errors are allowed. kit.
Pay attention to the method
. Ease and clarity of assessing the relationship between two
variables.
Disadvantage of the method.
To avoid misuse of this method, a person knowledgeable
about the product must be involved when evaluating the chart.
Expected Result.
Decide whether to take necessary action based on scatterplots.
In conclusion, the integration of date layers and scatter diagrams into quality management
and certification projects proves to be highly beneficial. Date layers offer a clear visualization of
project timelines, aiding in effective planning and tracking of milestones. Scatter diagrams provide
valuable insights into the relationships between variables, enabling the identification of patterns
and correlations crucial for quality improvement and certification processes. By leveraging these
tools, organizations can enhance their ability to monitor performance, identify areas for
improvement, and ensure compliance with quality standards. Ultimately, the use of date layers and
scatter diagrams contributes to the overall success and effectiveness of quality management and
certification initiatives.
REFERENCES
1.
Muxamedov O‘.X. Ta’limni tashkil etishda zamonaviy interfaol metodlar: O‘quv-uslubiy
tavsiyalar T.: O‘zbekiston Respublikasi IIV Akademiyasi, 2016. – 45 b
2.
Azizxodjaeva. N.N «Pedagogik texnologiyalar va pedagogik mahorat» TDPU Nizomiy-
2003y
3.
Ishmuhamedov R, Mirsalieva M. “O‘qitish jarayonida innovatsion ta’lim texnolgiyalari”.
Toshket – 2014 y.
4.
Abduvaliev A. A., Latipov V. B., Umarov A. S., Alimov M. N., Boyko S. R., Hakimov O.
Sh., Xvan V. I. Standartlashtirish, metrologiya, sertifikatlashtirish va sifat. O’quv qo’llanma.
– T.: SMSITI, 2008 y. – 267 b
5.
Артемев Б. Г., Юрин А. И. Основы сертификации. Учебное пособие. - Московский
государственный институт электроники и математики. – M.:, 2011. – 73 с.
6.
Димов Ю. В. Метрология, стандартизация и сертификация (учебник, 4 издание).
Санкт - Петербург, Издателво “Питер”, 2013. –496 с
7.
Сертификация: учебное пособие В. П. Яковлев, И. В. Бондаренкова, Г. А. Кнодел, Г.
А. Кондрашкова, А. В. Черникова. ГОУВПО СПб ГТУ РП. - СПб., 2010.-64 с
8.
O‘zbekiston Respublikasining “Iste’molchilar huquqlarini qo‘riqlash to’g’risida”gi qonuni
ISSN:
2181-3906
2024
International scientific journal
«MODERN SCIENCE АND RESEARCH»
VOLUME 3 / ISSUE 3 / UIF:8.2 / MODERNSCIENCE.UZ
974
9.
Сертификация: учебное пособие В. П. Яковлев, И. В. Бондаренкова, Г. А. Кнодел, Г.
А. Кондрашкова, А. В. Черникова. ГОУВПО СПб ГТУ РП. - СПб., 2010.-64 с
10.
O‘zbekiston Respublikasining “Iste’molchilar huquqlarini qo‘riqlash to‘g‘risida”gi qonuni
