Evoc intelligent manufacturing solutions

"Made in China 2025" points out the direction of intelligent manufacturing, which is the deep integration of information technology and manufacturing technology. These depth fusion need to break out the business enterprise inside all sorts of information island, using big data, such as the Internet of things technology will design information, order information demand, supply chain information, production processes and quality information together, provides the high quality for the enterprise managers in real time, high efficiency, data statistics and analysis of the whole pattern, make simple intelligent manufacturing factory.

Billiong upgraded a manufacturing plant with multi-variety and small-batch production mode into a real smart factory, helping it to improve its comprehensive capabilities of lean manufacturing, flexible production, green environmental protection, energy saving and data-driven.

Implement SMT production line automation and digitalization; Flexible and intelligent assembly line; Let the daily production of enterprises to carry out data transformation, improve production efficiency, quality dynamic detection, production line abnormal timely response and other capabilities, accelerate the high-end equipment manufacturing industry into the era of industry 4.0, fully realize industrial upgrading.

Improve production efficiency

Based on ERP and SAP databases such as factory supply chain, storage, order, production, etc., reasonably arrange weekly and daily production tasks, do a good job of seamless connection of multiple varieties and small batch production, and directly improve production efficiency.

Rational allocation of resources

A variety of sensors and industrial computer, edge server and data center network connection, maximize high-speed production automation, defect problem inspection automation, batch yield real-time, reduce the interference of human factors on product quality.

Stabilize product yield

Relying on years of big data analysis and experience in manufacturing, according to the weekly and daily order products and capacity, the company reasonably schedules the admission time of required materials, properly arranges manpower to take care of and manage production lines, and avoids the occupation of production sites by idle materials and labor resources by ineffective personnel.

Energy saving and consumption reduction, reduce operating costs

Real-time monitoring of production equipment, automatic tools and fixtures, production line energy environment and other key parameters, timely abnormal warning, to achieve green environmental protection, energy saving and consumption reduction of intelligent production.

Improve production efficiency

Based on ERP and SAP databases such as factory supply chain, storage, order, production, etc., reasonably arrange weekly and daily production tasks, do a good job of seamless connection of multiple varieties and small batch production, and directly improve production efficiency.

Rational allocation of resources

A variety of sensors and industrial computer, edge server and data center network connection, maximize high-speed production automation, defect problem inspection automation, batch yield real-time, reduce the interference of human factors on product quality.

Stabilize product yield

Relying on years of big data analysis and experience in manufacturing, according to the weekly and daily order products and capacity, the company reasonably schedules the admission time of required materials, properly arranges manpower to take care of and manage production lines, and avoids the occupation of production sites by idle materials and labor resources by ineffective personnel.

Energy saving and consumption reduction, reduce operating costs

Real-time monitoring of production equipment, automatic tools and fixtures, production line energy environment and other key parameters, timely abnormal warning, to achieve green environmental protection, energy saving and consumption reduction of intelligent production.