DEVELOPMENT OF AN INTEGRATED MANAGEMENT MODEL BASED ON ISO 9001 AND 'OEKO-TEX STANDARD 100' REQUIREMENTS TO IMPROVE QUALITY CONTROL IN TEXTILE INDUSTRIES
Keywords:
Textiles, Оeko-tex® standard 100, certification, least squares method, prediction model, probability, prediction, observations, coefficient, indicator.Abstract
Abstract: In this article, a prediction model based on the smallest quadratic equation was developed to estimate the level of implementation of the textile safety management system based on the Оeko-tex® standard 100 standard in our country and what the scope of certification will be in the future.
The purpose. Currently, textile products are produced, sold and sold for public consumption in many parts of the world. It is recommended to introduce the Оeko-tex® standard 100 safety management system standard to ensure the quality and safety of textile products and export products. The purpose of the work is to study the level of implementation of the Оeko-tex® standard 100 textile product safety management system and develop forecast parameters for the period up to 2030.
Methods. Scientific observation, statistical observation, statistical analysis, comparative analysis, grouping of data, abstract - logical thinking and the smallest quadratic tip were used in the research. This study serves to predict the level of increase in the next year in the number of hotels and organizations that meet the Оeko-tex® standard 100 criteria.
Results. As a result of the research, it was predicted what the multiplier will be in the next year by calculating the result of the statistical information and the result obtained at the end of the smallest quadrilateral. Based on the existing information on the Оeko-tex® standard 100 certificate, the prediction model was calculated according to the smallest quadruple tip, and by 2030, the number of Оeko-tex® standard 100 textile risk management system in Uzbekistan is 218, or there is a trend of a downward trend. formation and the level of reliability of this situation was estimated to be 94%. Of course, the reliability coefficient of the result was 94%, which is more reliable than the linear pegpecica tip of this tip.
Summary. Based on the analysis of the obtained results, the reliability coefficient of 94% means that this tip is more reliable than the linear regression tip.
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