Auto Parts
Industry 4.0 is no longer far away
The demand for final assembly components drives semi-finished product manufacturing, which drives the real-time delivery of various raw materials from automated warehousing, forming a pull-production model. This is supported by intelligent equipment like automated storage system of automated storage system, AGV, robot collaboration and others that cover the entire factory. The information systems, including MES, WMS, and WCS, play a leading role in the overall production.
Information system functional modules and architecture
Product process flow
Product data and demand analysis
Personnel positions and operating procedures
Container and carrier design
Detailed system design plan and animation simulation
Project overall integration
Project and site management
Coordination with building and fire safety requirements
Equipment installation and debugging
Equipment operation and maintenance training
Regular maintenance and 24-hour hotline support
Pre-production assistance and operational support
Centralized and on-site training
Project spare parts management
Remote support
Equipment and systems upgrades, modifications, and expansions
Technological innovation: By introducing automated equipment such as intelligent stereoscopic warehouse, conveying and sorting systems, AGV, and robots, we significantly enhance material handling efficiency.
Process innovation: We optimize logistics processes to minimize waste and bottlenecks, thereby improving both production efficiency and quality.
Real-time monitoring system: Our system continuously monitors production and material handling processes, enabling us to promptly identify and address issues, further boosting production efficiency.
Data-driven decision making: Leveraging big data analysis, we optimize production schedules and resource allocation, leading to intelligent decision making.
Intelligent scheduling: We implement precise management of material equipment and human resources, maximizing resource utilization.
Cost savings: By reducing human errors and material handling waiting time, we effectively lower production costs.
