Collaborative Robot Case: Motorcycle Parts Manufacturer SHAD - Screw Tightening

**Utilizing Universal Robots to Optimize the Production Process** Overview: SHAD, a motorcycle parts manufacturer in Spain, is considering the automation of assembly processes to enable workers to operate in a more rational environment. As production processes change, they sought a flexible system and introduced collaborative robots. As a result, the working environment for the screw tightening process improved, and two workers were freed from many repetitive tasks. Challenges: They want to automate to respond to increased demand, but there is no space to build an automation system. They aim to improve the repetitive tasks of workers. After Implementation: The UR5 was introduced in the screw tightening process, allowing it to be placed right next to the workers, enabling collaboration in a shared space. By replacing repetitive tasks with robots, work efficiency also improved. *For details on the decisive factors for robot implementation and horizontal deployment to other processes, please see the linked page. *If you would like to view a list of UR collaborative robots, please download it from the related catalog.*

The Spanish motorcycle parts manufacturer SHAD was considering automating the assembly process to allow workers to operate in a more efficient environment. As production processes changed, they sought a system that could respond flexibly and decided to introduce collaborative robots. As a result, the working environment for the screw tightening process was improved, and two workers were freed from many repetitive tasks. The challenge was the desire to automate in order to respond to increased demand, but there was no space to build an automation system, and they wanted to improve the repetitive tasks of the workers. They introduced the "UR5" in the screw tightening process. By placing it right next to the workers, they were able to collaborate in a shared space, and by replacing repetitive tasks with the robot, work efficiency was also improved. For more details on the decisive factors for introducing collaborative robots and the operational status, please see the link.