Why Data Collection Matters

You cannot improve what you cannot measure. Traditional manufacturing relies on manual entry which is delayed, inaccurate, incomplete, unstructured. Automated data collection solves all simultaneously.

Method 1 Manual Digital Entry (Lowest cost)

Workers use tablets/phones for structured forms. Better than paper: immediate availability, validation rules, auto timestamps. Cost: 2,000-5,000 RMB. Suitable for very small shops starting digital journey.

Method 2 Barcode/QR Scanning (Most common for SMEs)

Each job/material lot/container labeled with scannable code. Accurate timestamped granular tracking. Cost: 10,000-30,000 RMB. Covers 80% of data collection needs for most SMEs.

Method 3 RFID (Higher throughput, higher cost)

Passive tags on containers/pallets auto-read by gate readers. No line-of-sight needed. Cost: 50,000-200,000 RMB. Suitable for high-volume logistics and tool tracking.

Method 4 Direct Machine Connectivity (Most advanced)

Connect machines via PLC/OPC-UA/MTConnect/MODBUS. Auto-collects: cycle count, status, alarms, parameters. Cost: 5,000-50,000 per machine. Provides highest-value data for OEE and predictive maintenance.

Recommendation for 益阳 SMEs

Start with Method 2 (barcode scanning) for material/WIP tracking under 30k RMB. Add Method 4 for 3-5 most critical machines (another 50-150k RMB). Total solid data foundation: 80,000-180,000 RMB. Expected ROI: 6-12 months.