Brazil Knitwear Automation

Case：
In Brazil’s knitwear market, T-shirts are produced in large volumes, and factories need to improve bottom hemming efficiency while maintaining stable stitch quality. Manual hemming often depends on operator skill, especially for tubular garments with varying elasticity.
For this project, a local Brazilian distributor selected the VMA V-W500APW-BHR Automatic T-shirt Bottom Hemming Machine. Designed for adult tubular T-shirts, it features an automatic guide system that ensures smoother fabric feeding and reduces manual adjustment. With this system, one operator can manage two machines, helping reduce labor reliance and improve production efficiency. Compared to traditional methods, it enables a more stable and standardized hemming process.
This solution helps Brazilian factory enhance efficiency, reduce manual work, and achieve more stable production quality. Through remote alignment with the local Brazilian distributor and on-site deployment, the factory transformed its production metrics within several weeks.

Russia Institutional Project

Case:
In the Russian garment market, T-shirt manufacturers focus on stable quality and efficient production. Key challenges include improving workflow, reducing manual work, and maintaining consistency in collar, sewing and finishing.
For this project, a Russian apparel supplier selected several VMA machines to optimize production. An automatic collar attaching machine improved collar efficiency and consistency while reducing manual difficulty. Besides, V-9000AMG Lockstitch Sewing Machine ensured stable stitching for general assembly, and the V-88S enhanced binding and edge finishing quality.
By combining these machines, VMA helped the factory build a more integrated production process, improving workflow connection and reducing manual handling. This solution demonstrates VMA’s ability to support garment factories with practical equipment and process optimization, helping Russian manufacturers achieve more stable and efficient T-shirt production.