1. System Architecture
· Platform:
o Cloud-based or on-premises deployment.
o Microservices architecture for scalability.
· Database Support:
o SQL (MySQL, PostgreSQL, Oracle) and NoSQL (MongoDB).
· Operating System Compatibility:
o Windows Server, Linux (CentOS, Ubuntu).
· API Support:
o RESTful API, OPC UA for machine data integration.
2. Production Management
· Production Scheduling:
o Dynamic scheduling based on real-time machine availability and order priority.
· Work Order Management:
o Supports single-level and multi-level work orders.
· Material Management:
o Tracks material usage, stock levels, and replenishment requirements.
3. Quality Control
· Inspection Support:
o Inline, end-of-line, and random sampling quality checks.
· Defect Analysis:
o Root cause analysis with real-time defect logging.
· Process Control:
o Automatic alerts for deviations in temperature, pressure, or other parameters.
· Compliance Reporting:
o Generates reports meeting ISO, IATF, and other EV industry standards.
4. Traceability
· Serial Number Tracking:
o Full traceability from raw materials to final product.
· Data Logging:
o Logs process data, operator information, and environmental conditions.
· Historical Data Access:
o Retrieve historical records for audits or investigations.
5. Integration and Communication
· Supported Protocols:
o MQTT, OPC UA, Modbus TCP/IP for machine connectivity.
· ERP Integration:
o SAP, Oracle, Microsoft Dynamics integration.
· SCADA Compatibility:
o Supports real-time data exchange with SCADA systems.
· IoT Device Support:
o Connects to IoT sensors for process monitoring.
6. User Interface
· Dashboard:
o Customizable real-time production overview with KPIs.
· Access Levels:
o Role-based access for operators, supervisors, and management.
· Multi-Language Support:
o English, Chinese, and other configurable languages.
· Alerts and Notifications:
o Real-time alerts via SMS, email, or app notifications.
7. Data Analytics and Reporting
· Real-Time Analytics:
o Machine efficiency (OEE), downtime analysis, and productivity trends.
· Custom Reports:
o Exportable in Excel, PDF, or CSV formats.
· AI and Machine Learning:
o Predictive analytics for maintenance and production optimization.
· Visualization Tools:
o Charts, graphs, and heatmaps for intuitive data presentation.
8. Security Features
· Data Encryption: AES-256 encryption for data in transit and at rest.
· User Authentication:
o Multi-factor authentication (MFA) support.
· Access Control:
o Role-based permissions and audit trails.
· Backup and Recovery:
o Automated backups with disaster recovery options.
9. Hardware Requirements (Minimum)
· Server Requirements:
o CPU: Intel Xeon, 8 cores, 2.4 GHz or higher.
o RAM: 32 GB or higher.
o Storage: 1 TB SSD, RAID configuration recommended.
· Client Devices:
o Web browsers (Chrome, Edge, Safari) or dedicated application.
· Network:
o Minimum bandwidth of 1 Gbps for data exchange.
