項目背景
3,300 ㎡ 儲存空間
輸送線運行能力
快取記憶體架操作能力
採摘精確度
專案痛點
High Labor Costs and Recruitment Challenges: The current operating model relies heavily on manpower, leading to continuously rising labor costs and global recruitment difficulties.
Low Line-Side Warehouse Efficiency: Traditional line-side warehouses occupy large areas, have low material management accuracy, and consume significant time for inventory checks, impacting production efficiency.
Manual Feeding Efficiency Bottleneck: Manual feeding is inefficient, involves high handling frequency, is physically demanding for employees, and fails to meet the requirements of lean manufacturing.
解決方案
The “Shelf-to-Person” solution utilizes 10 robots to achieve efficient and accurate material picking, transforming the “person-to-goods” model into a “goods-to-person” model.
Intelligent Handling Robots: Three handling robots are deployed in conjunction to automate the transport of materials from the warehouse to the production line, reducing manual labor intensity.
High Integration and Optimization: The solution optimizes inventory management and robot scheduling through intelligent algorithms, ensuring efficient collaboration across the entire picking, handling, and delivery chain.
客戶價值
Significant Labor Cost Savings: Successfully saved 14 operators, effectively alleviating labor cost pressures and recruitment difficulties.
Efficient Storage Space Utilization: Warehouse inventory area was reduced by over 634 square meters (32%), greatly optimizing site utilization and reducing land and warehousing costs.
Improved Inventory Management Accuracy and Efficiency: Material inventory accuracy reached 99.9%, and inventory counting time was reduced by 90%, significantly improving the accuracy and efficiency of inventory management.
Significantly improved logistics efficiency: Enabling the handling of over 5,000 boxes of materials daily for picking and delivery, with a 42% increase in feeding efficiency, effectively ensuring the smooth operation of the production line.
Excellent return on investment: With a return on investment (ROI) of only 11 months, this solution demonstrates its strong economic benefits and rapid return on investment.