Process layout
This heavy-duty palletizing solution utilizes the YASKAWA MH180, a specialized palletizing robot, to automate the stacking of 20kg beverage boxes, handling up to two boxes at once (40kg).
By replacing human workers for these high-load tasks, the system prevents musculoskeletal disorders and significantly boosts productivity by handling up to 40kg in a single motion. Furthermore, the robot achieves high transport stability by stacking products in a tightly-packed, staggered (zigzag) pattern, just as a skilled manual laborer would.
Components
| Robot |
|
|---|
Workflow
| STEP 1. | Infeed: Either one or two beverage boxes are fed into the picking station. |
|---|---|
| STEP 2. | First Layer Palletizing: The robot stacks 8 boxes to complete the first layer. |
| STEP 3. | Multi-Tier Stacking: The process repeats until 3 tiers (layers) are successfully stacked. |
| STEP 4. | Discharge: The fully loaded pallet is discharged for transport. |
Features
Stable Handling and Stacking Operations
Optimized Stacking Patterns: Performs staggered (cross-stacked) and tightly-packed stacking by layer to ensure maximum stability during transport.
Dual-Securing Mechanism: Features a specialized gripper that secures heavy workpieces from both the sides and the bottom, ensuring safe handling without the risk of dropping.
Simultaneous Productivity Boost and Ergonomic Improvement
Dual-Box Handling: Maximizes throughput by handling up to two workpieces (40kg) simultaneously.
Labor Safety: Minimizes idle time and completely eliminates the risk of musculoskeletal disorders for workers by automating heavy lifting.
Custom Design and Pre-Verification
Optimized Tooling: Custom end-of-arm tooling (EOAT) is designed and manufactured based on specific load requirements and facility conditions.
Simulation-Based Validation: Conducts 3D simulations to perform interference checks and verify cycle time performance before on-site installation.
Results
| Key Benefits | Increased productivity through continuous, non-stop operation.
Reduced cycle times by handling two heavy workpieces at once.
|
|---|---|
| Client Feedback | High-load tasks are physically exhausting and were often avoided by workers. By automating these heavy lifting duties, we removed the physical burden from our staff and significantly increased our overall productivity by shortening work times.
|
Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
Recommended Solution
Beverage Box Palletizing using ABB IRB660
This palletizing automation solution utilizes the ABB IRB660, a dedicated palletizing robot, to automatically stack six heavy beverage boxes (approx. 30kg) at once onto a pallet. The system performs accurate stacking tasks in a short amount of time, taking less than 3 minutes to stack 9 layers of 12 boxes each (total of 108 boxes).
Ball Bearing Assembly through Dual NACHI MZ07
This is an automated assembly solution that replaces the manual ball bearing assembly process with two NACHI MZ07 high-speed robots. By implementing an efficient system configuration, the cycle time has been minimized, and productivity has been significantly boosted through 100% inspection and continuous production. The high repeatability of the MZ07 ensures that the delicate components of the ball bearing are integrated with extreme precision.
Near P: An Autonomous Mobile Robot Collaborating with Humans in Diverse Environments
Near P is a versatile Autonomous Mobile Robot (AMR) designed for both service and industrial sectors. This solution allows for highly flexible deployment by offering a customizable upper module tailored to specific client needs, making it adaptable to a wide variety of environments. Powered by AI machine learning, Cobot's Near P features advanced autonomous driving, obstacle avoidance, and target-following technologies, ensuring safe navigation in any space. Furthermore, the robot is managed through Near Plus, a proprietary operating system developed by Cobot, which enables anyone to easily operate the robot via mobile devices.