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

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

Automotive manufacturer increases productivity for cylinder-head production by 2

IBM

Technology Category	Analytics & Modeling - Predictive Analytics Analytics & Modeling - Process Analytics
Applicable Industries	Automotive
Applicable Functions	Quality Assurance
Use Cases	Predictive Quality Analytics
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. Read More
About 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 Read More
Customer Name	Daimler AG Read More
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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Analytics & Modeling - Process Analytics

Applicable Industries

Automotive

Applicable Functions

Quality Assurance

Use Cases

Predictive Quality Analytics

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.

About 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

Customer Name

Daimler AG

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.

Impact #1	[Cost Reduction - Maintenance] The company now replaces tools less often than it used to, which saves time and money
Impact #2	[Process Optimization - Centralized Monitoring] When irregularities emerge, the people in charge now know exactly where to start with optimizations.
Impact #3	[Process Optimization - Real Time Monitoring] Enables rapid adjustments by monitoring the process in near real time.

Impact #1

[Cost Reduction - Maintenance]

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

Impact #2

[Process Optimization - Centralized Monitoring]

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

Impact #3

[Process Optimization - Real Time Monitoring]

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

Benefit #1	increases productivity for cylinder-head production by 25%

Benefit #1

increases productivity for cylinder-head production by 25%

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Overview

Automotive manufacturer increases productivity for cylinder-head production by 2

Operational Impact

Quantitative Benefit