Abstract: The complexity of the manufacturing supply chain is accelerating, and the traditional warehousing management model has encountered significant bottlenecks in data timeliness control and labor cost control. This issue combines typical manufacturing scenarios such as automotive parts and electronic components to analyze in detail the path of warehouse digital transformation based on ultra-high frequency RFID.
Keywords: RFID
The complexity of the manufacturing supply chain is accelerating, and the traditional warehousing management model has encountered significant bottlenecks in data timeliness control and labor cost control. This issue combines typical manufacturing scenarios such as automotive parts and electronic components to analyze in detail the path of warehouse digital transformation based on ultra-high frequency RFID.
Manufacturing warehousing
Management core pain points
·Manual inventory error rate is as high as 8%-12%
·Material flow information has a 4-6 hour delay
·Special environment (high temperature/oil pollution) tag failure rate exceeds 30%
·Sluggish inventory accounts for an average of 15% of the total warehouse volume
RFID solution
Architecture design
RFID solution architecture design
This solution adopts a four-layer technical architecture:
❁ Perception layer: UHF anti-metal tag + industrial-grade fixed reader
❁ Transmission layer: Industrial Internet of Things gateway supporting Modbus TCP protocol
❁ Platform layer: Customized warehouse management middleware (compatible with SAP/UFIDA system)
❁ Application layer: 3D visual inventory monitoring platform
Core links Technical implementation
Adopt RFID channel access control reader to achieve pallet-level batch identification (200+ tags/second) and automatically verify purchase order data. Focus on deploying high-temperature resistant RFID tags for metal raw material packaging.
2. Intelligent storage location management
Each shelf is deployed with a 4-channel reader, and the RSSI signal strength algorithm is used to achieve ±15cm positioning accuracy. The system automatically records the storage time of materials and issues early warning prompts for overdue inventory.
3. Production picking optimization
AGV forklifts are integrated with RFID reader modules, and automatically navigate to designated storage locations according to MES system instructions. Tags (UHF+HF) are used to ensure double verification of precision parts.
The deployment of RFID handheld terminals combined with dynamic inventory algorithms realizes daily round-trip inventory in the entire warehouse area. Compared with traditional methods, manual participation is reduced by 80%, and the accuracy rate is increased to more than 99.5%.
❁ Auto parts warehouse: Use oil-resistant labels to achieve full life cycle tracking of gearboxes and other components
❁ Electronic component warehouse: Apply anti-static labels to ensure chip storage environment compliance
❁ Chemical raw material warehouse: Deploy intrinsically safe reading and writing equipment to meet the requirements of explosion-proof area operations
Manufacturing warehouse design (2).png
Implementation effect
Data verification
After implementation by a home appliance manufacturing company:
Core indicators Implementation effect
Inventory turnover rate increased by 42%
Delivery error rate decreased to 0.08%
Warehouse space utilization increased by 35%
Annual inventory loss amount Reduce 2.7 million yuan
Future technology
Evolution direction
Typical applications
Scenario introduction
❁ Edge computing and RFID integration: realize preliminary data analysis at the reader end
❁ Self-powered tag technology: solve the power supply problem in special scenarios
❁ 5G and RFID collaboration: improve the access capability of large-scale equipment
This solution has been successfully implemented in more than 100 discrete manufacturing companies in China, with an average implementation cycle of 45 working days and an investment return cycle of less than 14 months. Through the in-depth application of RFID technology, manufacturing companies can build an intelligent warehousing system with elastic expansion capabilities to provide reliable data support for lean production.
Post time: Mar-03-2025