The digital capability support for large-scale customization in the automotive industry enables rapid response to complex and ever-changing market demands
Based on OTD planning system, real-time response and delivery time for end-to-end orders
Group level architecture, easily adaptable to complex operational environments with multiple factories and bases
Intelligent scheduling algorithm, accurately meeting the production scheduling and resource optimization of a single factory
Standard system integration interfaces (ERP, MES, etc.) enable seamless transmission and sharing of information
Integrate various scenarios and formats of warehousing business in the automotive industry (flat storage, shelving, vertical storage, etc.), covering multiple logistics business models (JIT/JIS/KANBAN/SPS, etc.)
Establish a standardized warehousing and logistics operation platform with the goal of achieving the best business order and economic benefits
Optimize time of use and batch delivery to reduce material backlog in line-side warehouses
Collaborate with suppliers and third-party warehouses (3PL) to achieve rapid collaboration in the procurement and distribution process
Improve the ability to adapt to production changes and create favorable conditions for on-time logistics
To cope with the highly customized trend in the industry, support the one vehicle one BOM model, and accurately transmit configuration information
Meet the requirements of the automotive industry for process data and switching information to be directly connected to the workshop, ensuring accuracy and consistency
Meet the control and management requirements for special and critical processes under the IATF16949 system
Implement data collection of vehicle location information to reflect real-time production status of vehicles
Four major workshops - data collection during the inspection process, and construction of a comprehensive vehicle file
Implement unified control across multiple organizations and remote locations, with management instructions directly delivered to the site
Equipment networking and group control to improve equipment efficiency: automatic command issuance, real-time status monitoring, process error prevention control, quality trend warning, intelligent fault diagnosis
Digital device mirroring model: KPI system, obtaining device KPI indicators and conducting statistical analysis
Adapt to multiple device interface protocols and data source types
Energy consumption statistics and cost analysis; Scientific prediction and optimization of indicators
Machine processing equipment, assembly equipment, detection equipment, experimental equipment, storage equipment, transportation equipment, energy equipment and other comprehensive interconnection edge computing to open up the interaction between equipment and equipment
Compliant with automotive industry quality traceability system regulations, integrating quality data from different stages
Closed loop management of quality issues, automatic data collection, automatic alarm and feedback for anomalies
ANDON system, responsible person for real-time transmission of workstation abnormal information on the large screen and SMS
Automatic collection of process quality data, one vehicle per file, establishing a complete vehicle quality file
Isolation and control of defective products, handling issues in a timely manner to avoid large-scale product recalls or customer complaints