Zanini Renk Increases OEE from 45% to 71% with Industry 4.0 Transformation

Zanini Renk deployed AI for Process Optimization in Automotive. As reported by blogs.sw.siemens.com: 45% to 71% oee improvement.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
45% to 71%OEE improvement
26 percentage pointsOEE increase
2 yearsTime to achieve results

Source-reported figures — cited source: blogs.sw.siemens.com

Zanini Renk
Metric Before After Impact
OEE 45% 71% 26 percentage point increase
Time to Results — 2 years Full transformation achieved
Delivery Timeline Accuracy Low credibility High credibility Increased accuracy and stakeholder trust
Operational Visibility Local/siloed Global/holistic Enterprise-wide decision-making enabled

What Zanini Renk was trying to fix

Zanini Renk faced significant challenges in factory operations with a lack of visibility and accuracy in scheduling, resulting in daily firefighting and missed deadlines. They had no way to determine their Overall Equipment Effectiveness and lacked real-time shop floor visibility.

What Zanini Renk deployed

Zanini Renk implemented Opcenter Execution Discrete for real-time shop floor visibility and Opcenter Advanced Planning and Scheduling (APS) for detailed production scheduling. The integrated solution enabled tracking raw materials through to finished goods with precision and transparency.

Results

Within two years, OEE increased from 45% to 71%. The organization experienced a cultural shift with teams embracing data-driven decisions. The company gained holistic visibility across operations, increased credibility and accuracy in delivery timelines, and overcame local limitations to make decisions on a global scale.

Key Takeaways

  • OEE measurement is a prerequisite for meaningful manufacturing improvement
  • Combined MES and APS deployment delivers both visibility and planning optimization
  • Digital transformation drives cultural change toward data-driven decision making

Evidence for Zanini Renk's Process Optimization deployment

Reported outcome metrics
3 cited below
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Vendor

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Details

Industry
Automotive
AI Technology
Not available in record
Company Size
MidMarket

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