1. Raw Material and Component Traceability

Supplier Management: Records supplier qualifications and environmental compliance documents (such as RoHS certificates).

Incoming Inspection: Stores inspection reports and links them to non-conforming product handling records (such as returns, concession acceptance).

Inventory Tracking: Uses barcodes/RFID to link batches and locations, and monitors shelf life (e.g., storage conditions for electronic components).

2. Production Process Traceability

Process Data Collection: Records operators, equipment, process parameters (such as temperature, pressure), and quality inspection results (such as welding yield). Work-in-Process Tracking: Track the flow path of semi-finished products using unique identifiers (such as QR codes) to pinpoint bottleneck processes.

Anomaly Management: Record equipment failures and process deviations, triggering corrective actions (such as shutdown and maintenance).

3. Finished Product and Packaging Traceability

Unique Identification Coding: Assign serial numbers to finished products, including model, production date, and batch information, supporting multi-level packaging traceability.

Factory Inspection: Store functional test and aging test data, linking to customer-specific requirements (such as software versions).

Logistics Binding: Record transportation methods, carriers, and real-time location (such as transportation monitoring of temperature and humidity-sensitive components).

4. Supply Chain Collaboration and Traceability

Data Sharing: Connect with supplier systems to automatically obtain raw material sources; provide customers with query interfaces.

Key Node Verification: Set up data collection points in processes such as welding and testing to ensure process integrity (such as blockchain-based evidence).

Compliance: Meet industry regulations (such as automotive electronics IATF 16949, medical electronics FDA 21 CFR Part 820).

5. After-Sales and Recall Traceability

Customer Feedback Association: Match complaints (such as functional failures) with production batches and process data to quickly locate the root cause of the problem.

Recall Management: Accurately identify the affected product range, and record rework/scrap handling methods and costs.

6. Technical Support

Data Collection: Automated equipment (such as PLC, MES) uploads data, or data is manually entered via PDA scanning.

Storage and Query: Database stores data, supporting multi-condition combined queries (such as filtering records by batch).

Visual Analysis: Generate quality reports and supply chain risk maps, and extract data value (such as optimizing supplier selection).