Building the Database on Software for Analyzing the Sewing Process of Knitted Products Applied in Industrial Production
| Autor: | Thanh Thao Phan, Thi Le My Pham, Duy-Nam Phan |
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| Rok vydání: | 2022 |
| Zdroj: | ECS Transactions. 107:8797-8808 |
| ISSN: | 1938-6737 1938-5862 |
| DOI: | 10.1149/10701.8797ecst |
| Popis: | Industry 4.0 significantly has changed the operating processes of traditional businesses. Technology, digital, and artificial intelligence (AI) applications have been put into practice to increase the effectiveness of corporate governance around the world. To be able to firmly integrate into the regional and global economy, general Vietnamese businesses and garment businesses, in particular, need to improve their management capacity and optimize both quantity and quality of products. Towards this goal, this paper presents the results of research on building a database on software to analyze the sewing process applied to industrial production for two groups of knitted products, namely polo shirt and t-shirt, the software uses Java programming language on Google's tool. The content of the topic has practical significance, aiming for industry, innovation, and infrastructure. |
| Databáze: | OpenAIRE |
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