Intelligent warehousing and depalletizing/palletizing systems are not a "one-size-fits-all solution." Differences among industries in cycle time, load, cleanliness and flexibility determine the focus of automation solutions. Based on Hehongxin's project experience in the lithium battery, 3C and home appliance fields, this article breaks down the implementation key points of three typical scenarios for reference in production line planning and equipment selection.

Lithium battery production lines (cells, modules, PACK) have extremely high requirements for cycle time and safety. The back-end packaging and warehousing stages face two core contradictions: first, production line cycle times are fast and palletizing frequency is high, making it difficult for manual labor to match stably; second, batteries are dangerous goods, and stacking requires strict control of center of gravity and spacing to reduce the risk of tipping and crushing.

In practice, a combination of "robot palletizing + automated storage and retrieval system (AS/RS) + RGV/AGV transfer" is usually adopted: palletizing robots complete regular box stacking, the AS/RS achieves high-density storage and batch management, and RGVs handle high-speed transfer within the warehouse. For turnkey delivery of the entire line, key verification is required for changeover stack pattern deployment time (which should be controlled within 5 minutes) and fire compartmentation strategy to ensure both capacity and safety meet standards. For further reading, refer to Intelligent warehousing and palletizing automation solution for lithium battery production lines.

3C manufacturing (mobile phones, PCs, wearable devices) involves small products, many SKUs and frequent line changeovers. Traditional fixed palletizing is difficult to adapt to mixed production of multiple varieties, and is prone to issues such as unstable stack patterns and long changeover downtime.

This scenario relies more on collaborative robots and visual guidance: 3D vision is used to identify the posture of incoming materials and flexibly adjust grasping and palletizing strategies; collaborative robotic arms have a small footprint and can be quickly redeployed, making them suitable for high-mix low-volume production. When selecting, focus on repeat positioning accuracy, payload capacity, and visual recognition success rate, while also evaluating the system's impact on changeover cycle time. For general methods of equipment selection, see Palletizing Robot Selection Guide: 5 Key Parameters That Determine Production Line Efficiency.

Home appliances (air conditioners, refrigerators, washing machines) are heavy per unit, have regular packaging dimensions and high output, making this one of the most mature fields for palletizing robot applications. The core requirement is stability and a low failure rate during long-term continuous operation.

A typical solution centers on four-axis/six-axis palletizing robots, combined with conveyor sorting lines to achieve continuous operation of "incoming material - organizing - palletizing - stretch wrapping - warehousing." During the planning stage, it is necessary to accurately calculate peak capacity, stack height and pallet cycle rhythm, and reserve capacity redundancy. For the overall planning logic, refer to Key points for building an intelligent warehousing system: 6 stages from planning to implementation.

Although the three industries differ significantly, there are still commonalities during implementation: First, use data to calculate demand (peak cycle time, number of SKUs, inventory cycle) before working backward to equipment configuration; second, emphasize data connectivity between WMS and the equipment layer to avoid "automation islands"; third, treat changeover efficiency as a core indicator rather than looking only at single-point speed. Only by doing these three things solidly can intelligent warehousing and palletizing systems truly be transformed into capacity and cost advantages.