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Analysis of clothing elements reflecting fashion trends in the collection of fashion shows

https://doi.org/10.48184/2304-568X-2021-2-24-32

Abstract

The aim of the work is to study fashion trends, to establish a set of elements through which changes are expressed in models (samples) of collections of fashion shows of clothes, and how these changes are introduced into mass production and are repeated over time. The theoretical significance of the work lies in the development of a methodology for studying clothing samples, identifying fashion trends and making forecasts. The results obtained can be used in training for the formation of competencies among specialists in the field of fashion technology, modeling and clothing design, at industry enterprises for the development of promising collections. The proposed technique was tested, elements of models and materials were identified, the use and combination of which ensures the relative novelty and integrity of the collections, forms a promising trend, which is further implemented in the mass production of clothing.

About the Authors

L. F. Nemirova
«MINSP» Limited Liability Company
Russian Federation

644112, Omsk, st. Flight, 7 building 3, apt. 22.



S. B. Kitaeva
Omsk State Technical University
Russian Federation

644050, Omsk, Mira Ave., 11.



S. Sh. Tashpulatov
Tashkent, Institute of Textile and Light Industry
Uzbekistan

100100, Tashkent, Shokhjakhon st., 5.



I. V. Cherunova
Don State Technical University
Russian Federation

3465006, Rostov region, Shakhty, st. Shevchenko, 147.



N. A. Umarova
JV LEU «TOSHKENT SHAHRIDAGI PUCHON UNIVERSITETI»
Uzbekistan

100135, Tashkent, Chilanzar, Katartal 2, 38A.



References

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Review

For citations:


Nemirova L.F., Kitaeva S.B., Tashpulatov S.Sh., Cherunova I.V., Umarova N.A. Analysis of clothing elements reflecting fashion trends in the collection of fashion shows. The Journal of Almaty Technological University. 2021;(2):24-32. (In Russ.) https://doi.org/10.48184/2304-568X-2021-2-24-32

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ISSN 2304-568X (Print)
ISSN 2710-0839 (Online)