Case Study: Daimler Group achieves 25% higher cylinder-head production productivity with Presidion

Automotive Manufacturer Increases Productivity for Cylinder-Head Production By 25 Percent

Daimler Group, a major automotive manufacturer, needed a way to improve cylinder-head production at its Stuttgart factory by identifying the key process variables affecting quality. The company was struggling to analyze massive amounts of production data and shorten the long ramp-up phase for its complex manufacturing process, so it worked with Presidion using IBM SPSS software.

Presidion helped Daimler Group implement IBM SPSS Modeler for predictive analytics and daily process monitoring, enabling faster root-cause analysis and targeted adjustments. The result was a 25 percent productivity increase, a 50 percent reduction in ramp-up time, and quicker detection of irregularities, helping Daimler avoid defects and improve overall process transparency.

Daimler Group