This large-scale application case features an automated picking and replenishment system utilizing 120 Geek+ P500 mobile robots. By integrating a massive fleet into a unified fulfillment center, the system uses self-learning algorithms to optimize storage layouts based on order frequency. This solution maximizes space utilization and effectively addresses challenges such as labor shortages and rising personnel costs.
Components
| Robot |
|
|---|
Workflow
| STEP 1. | [Picking Process] |
|---|---|
| STEP 2. | Order Entry: Online orders are received and processed by the system. |
| STEP 3. | Targeting: Robots navigate to the specific racks containing the required items. |
| STEP 4. | GTP Transport: Robots lift the racks and move them to the picking station. |
| STEP 5. | Item Picking: Workers pick items from the racks brought by the robots. |
| STEP 6. | Return: Robots return the racks to their optimized storage positions. [Replenishment Process] |
| STEP 7. | Restock Request: A replenishment order is initiated for stock. |
| STEP 8. | Rack Retrieval: Robots move to the corresponding storage racks. |
| STEP 9. | Inbound Flow: Robots carry the racks to the replenishment station. |
| STEP 10. | Loading: New stock is loaded onto the racks by workers. |
| STEP 11. | Final Placement: Robots transport the replenished racks back to the storage area. |
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Features
Exceptional Performance & Maximized Space Utilization
Compact Efficiency: Build a high-performance logistics center even within constrained or limited footprints.
Intelligent Storage Optimization: Automatically reconfigures storage layouts based on SKU movement frequency to minimize picking and replenishment cycle times.
Versatile Material Handling: Capable of transporting heavy loads up to 600kg with support for both pallet and rack-based operations.
Flexible Picking Strategies: Adaptable to various workflows, including discrete order picking and total (batch) picking.
High Throughput: Achieves a picking rate of 300 to 600 pieces per hour per worker.
Minimized Investment & Operational Excellence
RaaS (Robots-as-a-Service) Model: Minimizes initial CAPEX and optimizes maintenance through a professional service-based approach.
Massive Fleet Coordination: Proven technology to manage and optimize large-scale fleets of over 100 robots simultaneously.
24/7 Productivity: Automated self-charging enables continuous, non-stop operation day and night.
High Stability and Global Reliability
Proven Track Record: Reliability is guaranteed by a global installation base of over 10,000 units operating worldwide across various industries.
Results
| ROI Period | 24 months
|
|---|---|
| Key Benefits | Storage Efficiency: Significant increase in inventory density per square meter.
Time Optimization: Drastic reduction in both replenishment and picking lead times.
Labor Optimization: Successfully reduced required manpower from 20 workers down to just 4.
|
| Client Feedback | By implementing the Geek+ solution, we significantly reduced our required storage footprint and achieved a major leap in overall warehouse operational efficiency. |
※ The content provided by Bigwave Robotics is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.
※ The content provided by Bigwave Robotics is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.
※ The content provided by Bigwave Robotics is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.
