North American Automotive OEMs have faced increased pressure to introduce electric vehicles and vehicle customization to their production lines. Coupled with overwhelming labor shortages, these pressures have caused many manufacturers to reconfigure their production lines, adopt flexible manufacturing processes, and invest in training and development programs to re-skill their workforce. An Enterprise Automotive OEM partnered with Invisible AI to test our technology's capability to improve production efficiency.
In automotive manufacturing, there's often a tendency to assume that an assembly line is running smoothly if it doesn't come to a screeching halt. An Enterprise Automotive OEM asked Invisible AI to install our AI edge devices on one of these such lines to see if our technology could identify waste their engineers had overlooked. Challenge accepted! Invisible AI deployed 31 edge devices along this OEM’s well-performing line to pilot the technology.
Invisible AI edge devices conducted AI time studies on every cycle along the production line to gather comprehensive data on the work conducted at each station, and created spaghetti diagrams of the production line to understand operator movement. Invisible AI’s expert Vision Systems Engineers analyzed the results of the time studies and spaghetti diagrams and identified several areas for optimization, including:
The success of this project resulted in implementation of Invisible AI's solution across the entire plant.
“Invisible AI can compare different technician’s and/or procedure/cycle-time simultaneously and discover opportunities with video evidence. We believe this technology will add immense value to our entire plant.”
Continuous Improvement Engineer
Enterprise Automotive OEM