Automotive manufacturer increases productivity for cylinder-head production by 2
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Process Analytics
Applicable Industries
- Automotive
Applicable Functions
- Quality Assurance
Use Cases
- Predictive Quality Analytics
The Customer
Daimler AG
About The Customer
The Daimler Group, one of the largest producers of premium cars and the world’s biggest global manufacturer of commercial vehicles, with divisions including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Financial
The Challenge
Daimler AG was looking for a way to maximize the number of flawlessly produced cylinder-heads at its Stuttgart factory by making targeted process adjustments. The company also wanted to increase productivity and shorten the ramp-up phase of its complex manufacturing process.
The Solution
Using IBM® SPSS® software, Daimler is now able to analyze the plethora of data obtained in the production process and gain deep insights into the key factors that influence product quality within each individual process step. The new findings allow early and targeted process adjustments.
Operational Impact
Quantitative Benefit
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