IBM > Case Studies > Automotive manufacturer increases productivity for cylinder-head production by 2

Automotive manufacturer increases productivity for cylinder-head production by 2

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 Automotive manufacturer increases productivity for cylinder-head production by 2 - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Analytics & Modeling - Process Analytics
Applicable Industries
  • Automotive
Applicable Functions
  • Quality Assurance
Use Cases
  • Predictive Quality Analytics
The Customer
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
  • [Cost Reduction - Maintenance]

    The company now replaces tools less often than it used to, which saves time and money

  • [Process Optimization - Centralized Monitoring]

    When irregularities emerge, the people in charge now know exactly where to start with optimizations.

  • [Process Optimization - Real Time Monitoring]

    Enables rapid adjustments by monitoring the process in near real time.

Quantitative Benefit
  • increases productivity for cylinder-head production by 25%

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