Dell Technologies > Case Studies > Artificial Intelligence Ensures Efficient Maintenance

Artificial Intelligence Ensures Efficient Maintenance

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 Artificial Intelligence Ensures Efficient Maintenance  - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Edge Analytics
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Automotive
Applicable Functions
  • Discrete Manufacturing
Use Cases
  • Edge Computing & Edge Intelligence
Services
  • Data Science Services
The Challenge

The motto of the automotive industry is: Time is money. Machine downtime must be prevented to avoid costly production outages. The EDAG Group had been commissioned to implement predictive maintenance for a customer, requiring a combination of intelligent software and high-performance hardware.

The Customer
About The Customer

Engineering services for the automotive industry.

The Solution

The storage and processing of huge amounts of data are handled by a Dell Technologies infrastructure package both in the data centre and on-site. This includes a mix of Dell EMC PowerEdge servers, including the XR2 servers, the Precision 3930 Rack Workstation, the OptiPlex XE3 Desktop PC, Latitude 5000 and 7000 notebooks, and 3000 and 5000 Series Embedded Box PCs and Edge Gateways.

  • Dell EMC PowerEdge servers, including PowerEdge XR2
  • Dell Precision 3930 Rack Workstation
  • Dell OptiPlex XE3 Desktop
  • Dell Latitude 5000 and 7000 Notebook
  • Dell Embedded Box PC Series 3000 and 5000
  • Dell Edge Gateway Series 3000 and 5000
Operational Impact
  • [Process Optimization - Predictive Maintenance]

    Focusing on the automotive industry, EDAG achieved all of the targeted goals with the introduction of a predictive maintenance solution. Unplanned machine outages have been minimized and spare parts management optimized.

  • [Cost Reduction - Labor]

    Fewer service personnel deployments

Quantitative Benefit
  • Reducing downtimes increased the key figure Overall Equipment Effectiveness (OEE) by 2%.

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