Process layout
Process Overview
This application is an order picking system that optimizes the operation of 10 Eugene Gocart 180 vehicles using the Marosol remote control system SOLlink.
We have maximized Logistics system efficiency by cluster-controlling multiple AMR using our proprietary SOLlink, and through an order picking system integrated with WMS, we can flexibly respond to peak cargo volumes without hiring additional workers.
Warranty Period
1 year
Year of Execution
2023
Project Period
Consultation required
Project Background and Objective
Improvement of labor supply and employment stability through the introduction of logistics
Reduction in the risk of musculoskeletal disorders and industrial accidents for workers through the introduction of robots in high-intensity, repetitive tasks
Increased work efficiency and reduced error rates through integration of WMS and order picking system
Components
| Robot | Yujin Robot GoCart180 10 units; Payload 180kg; ISO 13482 PLd safety standard certified; Operating speed max 1.0m/s; |
|---|---|
| Peripherals | Integrated control system SOLlink; upper module; order picking cart; middleware; |
Workflow
| STEP 1. | Operator positions between warehouse racks → AMR loads cart → AMR passes over racks and stops at designated location → Operator loads items onto cart → When cart is full, AMR unloads cart at designated location |
|---|
Features
High capacity processing connected to the entire conveyor line
Flexible support for various pallet/bag sizes with an intuitive UX/UI OP panel
Implement a solution at a low cost without Vision by utilizing a product alignment device
Results
| Key Benefits | Maximum daily order picking throughput per worker more than doubled
Expansion of personnel utilizing robots in Logistics warehouses
Reduction in workers' musculoskeletal disorder rates and turnover rates
|
|---|---|
| Client Feedback | As the workload was reduced by introducing robots, the length of service for workers increased, and we were able to respond flexibly to sudden increases in cargo volume.
In particular, lower body fatigue has decreased dramatically because there is no need to walk around carrying picked items.
With a Logistics system integrated with a higher-level WMS system, human error has decreased, leading to increased customer satisfaction.
|
Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
Recommended Solution
T11 Standard Pallet Transport using Twinny NarGo 100
This logistics automation solution utilizes two Twinny NarGo 100 AMRs equipped with advanced collision avoidance to transport incoming component pallets to subsequent processing areas. Twinny's NarGo 100 solution features triple-layer safety sensors and autonomous driving technology, allowing it to operate safely in any factory environment—even those with complex layouts and high pedestrian traffic. In the previous manual process, after forklifts unloaded parts at the receiving dock, downstream workers had to leave their stations to retrieve the pallets. This resulted in significant process wait times and idle periods. By implementing autonomous robots, components are transported directly to the internal workstations immediately after arrival. This minimizes "external setup time" (non-value-added transport time) and substantially boosts overall productivity.
Smartphone Transfer using TechFloor Mobile Manipulator (M6X)
This transfer automation solution utilizes the TechFloor Mobile X, a high-performance Mobile Manipulator, to pick smartphones from shelving units, load them onto its onboard platform, and transport them to the next process stage. The TechFloor Mobile X can be deployed without extensive infrastructure changes and offers flexible adaptation to layout or workstation modifications. It ensures high productivity through rapid transit and high-precision docking, minimizing common mobile robot issues such as alignment errors. By applying this solution to environments with frequent inter-process part transfers, continuous operation is achieved regardless of shifts, significantly boosting productivity without additional labor costs.
Computer Parts Transport using PuduBot, a Compact Autonomous Delivery Robot
This logistics automation solution utilizes a compact AMR (Autonomous Mobile Robot) to perform indoor material transport tasks. Based on multi-sensor fusion including Lidar, Camera, RGBD, IMU, and Encoders, the robot can move freely within designated areas. It supports both a "Delivery Mode" for transporting items to specific locations and a "Cruise Mode" for moving repeatedly along a pre-set path. By facilitating the movement of goods within the workplace, this solution reduces worker fatigue caused by repetitive manual labor and increases overall operational efficiency. It can also safely transport chemical, fresh, or medical supplies, as well as hazardous materials, within the facility. IMU: A sensor-based device that measures the velocity, orientation, gravity, and acceleration of a moving object. Encoder: A transducer in digital electronic circuits that converts signals from one code sequence to another.
Process layout
Process Overview
This application is an order picking system that optimizes the operation of 10 Eugene Gocart 180 vehicles using the Marosol remote control system SOLlink.
We have maximized Logistics system efficiency by cluster-controlling multiple AMR using our proprietary SOLlink, and through an order picking system integrated with WMS, we can flexibly respond to peak cargo volumes without hiring additional workers.
Warranty Period
1 year
Year of Execution
2023
Project Period
Consultation required
Project Background and Objective
Improvement of labor supply and employment stability through the introduction of logistics
Reduction in the risk of musculoskeletal disorders and industrial accidents for workers through the introduction of robots in high-intensity, repetitive tasks
Increased work efficiency and reduced error rates through integration of WMS and order picking system
Components
| Robot | Yujin Robot GoCart180 10 units; Payload 180kg; ISO 13482 PLd safety standard certified; Operating speed max 1.0m/s; |
|---|---|
| Peripherals | Integrated control system SOLlink; upper module; order picking cart; middleware; |
Workflow
| STEP 1. | Operator positions between warehouse racks → AMR loads cart → AMR passes over racks and stops at designated location → Operator loads items onto cart → When cart is full, AMR unloads cart at designated location |
|---|
Features
High capacity processing connected to the entire conveyor line
Flexible support for various pallet/bag sizes with an intuitive UX/UI OP panel
Implement a solution at a low cost without Vision by utilizing a product alignment device
Results
| Key Benefits | Maximum daily order picking throughput per worker more than doubled
Expansion of personnel utilizing robots in Logistics warehouses
Reduction in workers' musculoskeletal disorder rates and turnover rates
|
|---|---|
| Client Feedback | As the workload was reduced by introducing robots, the length of service for workers increased, and we were able to respond flexibly to sudden increases in cargo volume.
In particular, lower body fatigue has decreased dramatically because there is no need to walk around carrying picked items.
With a Logistics system integrated with a higher-level WMS system, human error has decreased, leading to increased customer satisfaction.
|
Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
Recommended Solution
T11 Standard Pallet Transport using Twinny NarGo 100
This logistics automation solution utilizes two Twinny NarGo 100 AMRs equipped with advanced collision avoidance to transport incoming component pallets to subsequent processing areas. Twinny's NarGo 100 solution features triple-layer safety sensors and autonomous driving technology, allowing it to operate safely in any factory environment—even those with complex layouts and high pedestrian traffic. In the previous manual process, after forklifts unloaded parts at the receiving dock, downstream workers had to leave their stations to retrieve the pallets. This resulted in significant process wait times and idle periods. By implementing autonomous robots, components are transported directly to the internal workstations immediately after arrival. This minimizes "external setup time" (non-value-added transport time) and substantially boosts overall productivity.
Smartphone Transfer using TechFloor Mobile Manipulator (M6X)
This transfer automation solution utilizes the TechFloor Mobile X, a high-performance Mobile Manipulator, to pick smartphones from shelving units, load them onto its onboard platform, and transport them to the next process stage. The TechFloor Mobile X can be deployed without extensive infrastructure changes and offers flexible adaptation to layout or workstation modifications. It ensures high productivity through rapid transit and high-precision docking, minimizing common mobile robot issues such as alignment errors. By applying this solution to environments with frequent inter-process part transfers, continuous operation is achieved regardless of shifts, significantly boosting productivity without additional labor costs.
Computer Parts Transport using PuduBot, a Compact Autonomous Delivery Robot
This logistics automation solution utilizes a compact AMR (Autonomous Mobile Robot) to perform indoor material transport tasks. Based on multi-sensor fusion including Lidar, Camera, RGBD, IMU, and Encoders, the robot can move freely within designated areas. It supports both a "Delivery Mode" for transporting items to specific locations and a "Cruise Mode" for moving repeatedly along a pre-set path. By facilitating the movement of goods within the workplace, this solution reduces worker fatigue caused by repetitive manual labor and increases overall operational efficiency. It can also safely transport chemical, fresh, or medical supplies, as well as hazardous materials, within the facility. IMU: A sensor-based device that measures the velocity, orientation, gravity, and acceleration of a moving object. Encoder: A transducer in digital electronic circuits that converts signals from one code sequence to another.