Issue |
SHS Web Conf.
Volume 172, 2023
International Scientific and Practical Conference on Social Sciences and Humanities: Scientific Challenges of the Development of Modern Society (SHCMS 2023)
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Article Number | 03002 | |
Number of page(s) | 6 | |
Section | International and Intercultural Communication in the Global World | |
DOI | https://doi.org/10.1051/shsconf/202317203002 | |
Published online | 12 July 2023 |
Application of Measuring Instruments with Elements of Artificial Intelligence to Optimize Cross-Cultural Communications of Personnel of Outsourcing Sewing Enterprises
The Kosygin State University of Russia, Malaya Kaluzhskaya st., 1, 119071, Moscow, Russia
* Corresponding author: iulia3008@mail.ru
Continuous changes in the global world affect the interaction of Russian and foreign enterprises. The long-term experience of cooperation between the sewing enterprises of Russia and China has shown that for the fruitful development of relations in a period of unstable international situation, it is necessary to introduce a new communication format into the production cycle digital quality control of semi-finished and finished clothing products. Since the middle of the last century, outsourcing has become an actual form of development of the global clothing industry, involving remote interaction between the head offices of design firms and contractor factories. A feature of labor relations at outsourcing enterprises is the maintenance of norms and values of business cultures of cooperating countries. Due to interethnic differences in the interpretation of such a basic concept in the industry as “the quality of sewing”, controversial situations often arise that reduce the positive image and reputation of representatives of conflicting parties. The introduction of a contactless form of acceptance of finished products using the computer vision tool will not only optimize the final inspection stage, but also improve the psychological climate when interacting with the controller-inspector and employees of the outsourcing factory. Computer vision effectively detects the emerging defect among semi-finished garments.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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