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Miba Standardizes Quality Assurance Across Global Plants with Opcenter Quality

A documented Quality Control & Inspection in Automotive deployment at Miba, with source-attributed results and missing evidence labelled explicitly.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Automated evidence gate passed
Deployment timeframe:
Not reported by source
Reported outcome metrics:
1 cited below
Directory entry published:

The source-link check confirms reachability, not independent re-verification of every claim.

8Plants deployed

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

The Challenge

Miba, a leading partner of the international engine and automotive industry producing sintered components, engine bearings, and friction materials, needed to comply with extreme physical requirements and tight tolerances across multiple production sites worldwide. They needed to integrate existing ERP with a new QMS environment while meeting customer requirements and international industry standards.

The Solution

After a six-month selection process, Miba implemented Opcenter Quality software with mainly standard functionalities. Rollout started with a pilot plant and was extended to eight locations. The modular solution linked to existing ERP systems and standardized processes throughout all plants and business fields.

Results

Miba achieved standardized quality processes across all plants and business fields globally. Opcenter Quality enabled close collaboration between quality managers across different business units. The zero-defects initiative was supported by optimized quality processes that improved products while avoiding waste and defects.

Key Takeaways

  • Standard functionalities minimize programming and ease release change management
  • Pilot-then-expand rollout strategy reduces risk for global quality system deployments
  • Quality system standardization across global sites enables cross-plant collaboration and benchmarking

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Details

Industry
Automotive
AI Technology
Not available in record
Company Size
Enterprise
Company
Miba
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published

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