Automation Case Studies
See how Sofos Robotics has helped Manufacturers using Custom Robotic Solutions and Robotmaster Software.
Trane Technologies
Auto Swagger
Trane, a leading HVAC solutions provider, faced challenges with labor-intensive tube-rolling for custom chillers at their La Crosse, WI facility, compounded by skilled labor shortages and lengthy programming times exceeding 80 hours. At IMTS 2018, Trane discovered Sofos Robotics’ expertise in optimizing robotic processes. Leveraging our advanced solution, Trane reduced programming time to just 30 minutes—a savings of over 80 hours—while keeping robots online. This streamlined approach cut cycle times by 38%, boosted output by 50% with zero errors, enhanced safety, and enabled employee reskilling, alleviating labor pressures and driving production efficiency for Trane.
Global Manufacturer
Welding
A global leader in compact equipment sought to enhance its frame welding process through automation but faced inefficiencies with manual teach pendant programming, which took 40 hours per frame and caused significant robot downtime. Partnering with Sofos Robotics, the manufacturer adopted a cutting-edge solution that streamlined their operations. This innovation slashed programming time by 50%—from a week to a day—and reduced robot downtime by 75%, boosting productivity. The advanced feasibility tools allowed the team to validate new frame designs instantly, minimizing redesign delays and improving the design-to-production process.
Mercury Marine
Grinding and Polishing
Mercury Marine, a leading marine engine manufacturer since 1939, struggled with inefficient robotic programming for their grinding and polishing systems, where traditional methods demanded a week-long effort from three skilled experts and yielded inconsistent quality. Turning to Sofos Robotics’ expertise, Mercury Marine transformed their process with a seamless solution that empowered programmers of all levels to deliver consistent, high-quality results. This innovation cut programming time by 50%, virtually eliminated robot downtime, and extended consumable life by reducing rework. The optimization capabilities ensured error-free, fluid robotic movements, boosting productivity.
