manufacture

Made in China 2025 points out the direction of intelligent manufacturing, which is the deep integration of information technology and manufacturing technology. These deep integrations require breaking down various information silos within the enterprise, using technologies such as big data and the Internet of Things to connect design information, order demand information, supply chain information, production process information, quality information, etc., providing real-time high-quality, efficient, and comprehensive data statistics and analysis for enterprise managers, and creating a simple and intelligent manufacturing factory

Upgrade and transform a manufacturing factory with EVOC's multi variety and small batch production mode into a truly intelligent factory, helping it enhance its comprehensive capabilities in lean manufacturing, flexible production, green environmental protection, energy conservation and consumption reduction, and data-driven.

Implement SMT production line automation and digitization; Flexible and intelligent assembly line; Transforming the daily production of enterprises into data, improving production efficiency, dynamic quality detection, and timely response to production line abnormalities, accelerating the entry of high-end equipment manufacturing into the Industry 4.0 era, and achieving comprehensive industrial upgrading.

Improve production efficiency

Based on the factory supply chain, warehousing, orders, production and other ERP and SAP databases, we can reasonably arrange daily production tasks every week, seamlessly connect many varieties and small batch production, and directly improve production efficiency.

Reasonably allocate resources

By utilizing various sensors and industrial computers, as well as network connections between edge servers and data centers, we aim to maximize high-speed production automation, automate defect inspection, and achieve real-time batch yield, while reducing human interference on product quality.

Stable product yield

Based on years of big data analysis and experience in manufacturing and production, according to the weekly and daily order products and production capacity, the required material entry time is reasonably scheduled, and appropriate manpower is arranged to take care of and manage the production line, avoiding stagnant materials occupying the production site and ineffective personnel occupying labor resources.

Energy conservation and consumption reduction, lowering operating costs

Real time monitoring of key parameters such as production equipment, automatic tool fixtures, and production line energy environment, timely warning of abnormalities, and achieving intelligent production that is green, environmentally friendly, energy-saving, and consumption reducing.

Improve production efficiency

Based on the factory supply chain, warehousing, orders, production and other ERP and SAP databases, we can reasonably arrange daily production tasks every week, seamlessly connect many varieties and small batch production, and directly improve production efficiency.

Reasonably allocate resources

By utilizing various sensors and industrial computers, as well as network connections between edge servers and data centers, we aim to maximize high-speed production automation, automate defect inspection, and achieve real-time batch yield, while reducing human interference on product quality.

Stable product yield

Based on years of big data analysis and experience in manufacturing and production, according to the weekly and daily order products and production capacity, the required material entry time is reasonably scheduled, and appropriate manpower is arranged to take care of and manage the production line, avoiding stagnant materials occupying the production site and ineffective personnel occupying labor resources.

Energy conservation and consumption reduction, lowering operating costs

Real time monitoring of key parameters such as production equipment, automatic tool fixtures, and production line energy environment, timely warning of abnormalities, and achieving intelligent production that is green, environmentally friendly, energy-saving, and consumption reducing.