How Siemens brings industrial AI to Audi's factory floor
Welding car bodies creates molten metal droplets that can harm workers or damage wiring. Traditionally, workers searched for and removed the splatter manually. But with 60-second cycles, 2,000 welds per car body, and 1,000 cars a day, that’s inefficient.
Audi developed an AI model that reliably detects weld splatters on car bodies and implemented an easily scalable AI infrastructure using Industrial Edge and the Industrial AI Suite from Siemens.
CASE STUDY 1
THE CHALLENGE:
THE SOLUTION:
How Siemens brings industrial AI to Audi's factory floor
Inside Siemens'
AI-powered factory in Erlangen, Germany
Manufacturers need to reduce energy consumption, shorten time to market, improve quality and achieve net-zero emissions by 2030 — all while making sense of operational data.
Siemens' Electronics Factory Erlangen uses connected data, Industrial AI and Digital Twins to test solutions digitally before they reach the market, while improving productivity, quality and sustainability.
CASE STUDY 2
THE CHALLENGE:
THE SOLUTION:
shorter time to market
60%
higher quality
50%
higher production output
40%
KEY NUMBERS:
Inside Siemens'
AI-powered factory in Erlangen, Germany
How Siemens helped Pringles crunch the data using industrial AI
Nailing the perfect Pringles chip is getting tougher. Variations in raw materials require careful recipe adjustments to ensure consistent dough quality.
A network of sensors, Industrial AI and Digital Twins help predict dough quality, adapt recipes in real time and keep production flowing without the waste, stops or yield losses that recipe changes once caused.
CASE STUDY 3
THE STORY:
WHAT YOU NEED TO KNOW:
waste reduction
10%
capacity increase
7%
energy efficiency
13%
KEY NUMBERS:
How Siemens helped Pringles® crunch the data using industrial AI
How Siemens helped Pringles® crunch the data using industrial AI