Textiles & Apparel

Sky MES manages cycle times at every stage of production to improve efficiency and productivity using intelligent algorithms to dynamically adjust scheduling.

Our platform ensures precise tracking of every thread, fabric, and accessory. With a specialized inventory management system, Sky MES provides immediate visibility of stock levels, facilitating agile management of materials specific to each product.

Sky MES implements quality control protocols specific to textiles, including automated inspections during production based on time and quantity produced. It can even incorporate the use of artificial vision cameras to identify defects in fabrics in real-time, ensuring exceptional quality standards throughout the process.

The platform connects bi-directionally with dyeing devices to ensure precise processes and consistent color reproduction. Among its features, it can perform automatic adjustment of dyeing parameters, in real-time based on the article, ensuring faithful color reproduction and optimizing process efficiency.

With Sky MES, the transition between weaving and packaging is optimized to reduce waiting times. Our platform ensures that the different phases of the process are perfectly coordinated, allowing deadlines to be met smoothly.

Sky MES automates processes to facilitate compliance with regulations on the production and labeling of textile products. A clear example is the automatic updating of label information based on regulations, ensuring compliance and accuracy in the labeling of each product.

Preventive Maintenance: The artificial intelligence of Sky MES enables intelligent scheduling of operations based on constant data analysis, taking into account historical data. This ensures proactive maintenance, preventing potential machinery problems and guaranteeing consistent performance, reducing downtime.

Complying with specific textile industry regulations is essential. Sky MES simplifies documentation and regulatory compliance, while also providing detailed information to support sustainable and responsible practices.