Project Overview
L&S Engineers, one of the UK’s largest suppliers of spare parts and consumables, implemented HIK Logistics robot solutions to enhance logistics efficiency in its large-scale warehouse. This project focused on automating the order picking process using mobile robots, increasing the precision of logistics operations, and reducing the burden on workers.
Project Background & Objectives
Background
L&S Engineers operates a large logistics center that handles thousands of spare parts and consumables, requiring the processing of numerous orders daily. However, the existing manual methods faced the following challenges:
Increased fatigue among workers due to long walking distances
Low operational efficiency and slow order processing speeds
Concerns over decreased customer satisfaction due to high error rates
Objectives
Enhance Operational Efficiency: Shorten worker travel distances and improve productivity through mobile robots
Improve Accuracy: Reduce error rates in the order picking process
Reduce Operating Costs: Lower labor and operational expenses through automation
Components
| Robot | Robot HIK AMR Logistics Robots (40 units): Each robot moves autonomously using high-performance sensors and transports necessary parts to the workstation for order picking. |
|---|
Workflow
| STEP 1. | Order Receipt: The central management system collects customer order information. |
|---|---|
| STEP 2. | Work Instruction Transfer: Mobile robots receive information regarding part locations and workstations from the central management system. |
| STEP 3. | Part Pickup: Robots collect designated parts from shelves within the warehouse. |
| STEP 4. | Transport and Delivery: Robots transport parts to the workstation and deliver them to the worker. |
| STEP 5. | Task Completion: The worker dispatches the order after packaging and final verification. |
| STEP 6. | Robot Return: Robots that have completed their tasks move to the standby area for the next assignment. |
※ 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.
Recommended Use Cases
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Smart Palletizing using the Hyundai Robotics HH050 and Mech-Mind 3D Vision 🦾🤖
Process Overview This palletizing automation solution uses the Hyundai Robotics HH050 and Mech-Mind 3D vision to detect mixed-size boxes, align them by size, and automatically stack them onto pallets. By leveraging a cost-effective 3D vision system, the cell can reliably palletize even when cartons of varying dimensions are mixed in the flow, ensuring stable operation.
An Order Picking System Solution for Logistics Warehouses using AMRs
Process Overview This case study demonstrates an order picking system that optimizes the operation of ten Eugene Gocart 180s using Marosol's remote control system, SOLlink. With the self-developed SOLlink, multiple AMRs are clustered and controlled to maximize logistics system efficiency. The order picking system, integrated with WMS, allows for flexible handling during peak periods without the need for additional workers. Warranty Period 1 Year Performance Year 2023 Project Duration Need for consultation Project Background and Objectives Improved workforce supply and employment stability through the introduction of logistics robots Introducing robots for high-intensity, repetitive tasks reduces the risk of musculoskeletal disorders and industrial accidents among workers Integrating WMS and order picking systems increases work efficiency and reduces error rates
Project Overview
L&S Engineers, one of the UK’s largest suppliers of spare parts and consumables, implemented HIK Logistics robot solutions to enhance logistics efficiency in its large-scale warehouse. This project focused on automating the order picking process using mobile robots, increasing the precision of logistics operations, and reducing the burden on workers.
Project Background & Objectives
Background
L&S Engineers operates a large logistics center that handles thousands of spare parts and consumables, requiring the processing of numerous orders daily. However, the existing manual methods faced the following challenges:
Increased fatigue among workers due to long walking distances
Low operational efficiency and slow order processing speeds
Concerns over decreased customer satisfaction due to high error rates
Objectives
Enhance Operational Efficiency: Shorten worker travel distances and improve productivity through mobile robots
Improve Accuracy: Reduce error rates in the order picking process
Reduce Operating Costs: Lower labor and operational expenses through automation
Components
| Robot | Robot HIK AMR Logistics Robots (40 units): Each robot moves autonomously using high-performance sensors and transports necessary parts to the workstation for order picking. |
|---|
Workflow
| STEP 1. | Order Receipt: The central management system collects customer order information. |
|---|---|
| STEP 2. | Work Instruction Transfer: Mobile robots receive information regarding part locations and workstations from the central management system. |
| STEP 3. | Part Pickup: Robots collect designated parts from shelves within the warehouse. |
| STEP 4. | Transport and Delivery: Robots transport parts to the workstation and deliver them to the worker. |
| STEP 5. | Task Completion: The worker dispatches the order after packaging and final verification. |
| STEP 6. | Robot Return: Robots that have completed their tasks move to the standby area for the next assignment. |
※ 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.
Related Use Cases
Full Automation of Injection Molding Line Logistics with AMR Logistics Robots
Smart Palletizing using the Hyundai Robotics HH050 and Mech-Mind 3D Vision 🦾🤖