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Designing Software to Analyze Sewing Process of Industrial Knitted Products

Phan Thanh Thao*, Nguyen Thanh Hung, Pham Thi Le My, Nguyen Xuan Hiep, Duy-Nam Phan

Hanoi University of Science and Technology, Hanoi, 10000, Vietnam

* Corresponding Author: Phan Thanh Thao. Email: email

Computer Systems Science and Engineering 2023, 44(2), 1837-1852. https://doi.org/10.32604/csse.2023.026502

Abstract

In the textile industry, garment manufacturing contains four major processes containing cutting, sewing, finishing, and packaging. Sewing is the most crucial and intricate section, dealing with a large number of varied operations. A successful sewing process needs to be optimized regarding different factors, including time, sewing equipment, and skilled workers. Assembly line flow is combined by a set of operations with a particular sequence. The utmost importance of all garment industry is to arrange the workstations to minimize the number of employees in order to produce at the best productive rate with the most reasonable cost, shortest time, and satisfying quality. In most garment factories, the production lines are balanced using the empirical judgment of the line managers. For the whole process the data of production time at each step, labor productivity, proper choices of equipment were always needed to calculate line efficiency. As far as the issue is concerned, there has not been an academically sewing process analyzing software providing adequate data of sewing motions and sewing time as the credible input for the line balancing tasks. Towards this goal, this paper presents the results of research on optimizing academically self-built software to analyze the sewing process of knitted products applied to industrial production using Java programming language on Google tools. The results achieved by the software are not only to analyze sewing products and the technological sewing process, calculate the sewing time on the machine but also analyze the sewing activities of workers into manipulations, movements, and motions to calculate the preparation time for two typical knitted products, namely, Polo-Shirt and T-Shirt with the case studies at General Textile Garment Joint Stock Company Hanoi and Star Fashion Company Limited.

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APA Style
Thao, P.T., Hung, N.T., My, P.T.L., Hiep, N.X., Phan, D. (2023). Designing software to analyze sewing process of industrial knitted products. Computer Systems Science and Engineering, 44(2), 1837-1852. https://doi.org/10.32604/csse.2023.026502
Vancouver Style
Thao PT, Hung NT, My PTL, Hiep NX, Phan D. Designing software to analyze sewing process of industrial knitted products. Comput Syst Sci Eng. 2023;44(2):1837-1852 https://doi.org/10.32604/csse.2023.026502
IEEE Style
P.T. Thao, N.T. Hung, P.T.L. My, N.X. Hiep, and D. Phan, “Designing Software to Analyze Sewing Process of Industrial Knitted Products,” Comput. Syst. Sci. Eng., vol. 44, no. 2, pp. 1837-1852, 2023. https://doi.org/10.32604/csse.2023.026502



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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