USE OF NORMAL DISTRIBUTION IN QUALITY MANAGEMENT IN APPAREL AND FOOTWEAR INDUSTRY ENTERPRISES

Abstract

The article proposes approaches to the use of statistical methods in quality management in the garment and footwear industries, which ensures the correct collection, quantitative analysis of information and qualitative interpretation of the results. In the context of globalization of the world economy, the importance of developing approaches to the collection of statistical information is growing. The entry of the enterprises of the garment and footwear industry of Ukraine on the world markets under its own brand requires knowledge and information about the consumers of the global market. Consumers in different markets around the world may differ in anthropometric size. The enterprise of garment and footwear industry in mass production requires knowledge of various human anthropometric indicators, the main of which are the linear dimensions of the body in order to develop the optimal size and complete range of clothing and footwear. It is possible to study consumers in this case on the basis of use of statistical methods. World experience shows that high quality products have been achieved by enterprises and organizations that have used statistical methods of quality management. To form the optimal size and complete range of fashion products, it is proposed to use a normal distribution. Normal distribution is the most important distribution for continuous random variables - quantities whose possible values continuously fill some interval on the numerical axis of real values. Metric sizes of fashion products are continuous values. Due to the impact of various factors, the quality mark can take on different meanings. The exact meaning that the sign can acquire is unknown and is random under the influence of variation. Acquisition of a sign of some values is more frequent than others, ie the appearance of certain values is more likely than the appearance of others. The practical value of the study lies in the possibility of using the normal distribution to form the optimal size and complete range of light industry products, as demonstrated by the example of determining the percentage of women who have standard and non-standard height.