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Repairs and maintenance

SmartEAM

It`s reduces machine downtime by 30–50% and cuts maintenance costs by up to 40% through IIoT, predictive maintenance, BI analytics, and RCM asset management with RCM, Predictive Maintenance

Question

IT solutions designed to accelerate your workflow

Industrial Internet of Things (IIoT)
• Equipment Connection
• Visualization
• Predictive Maintenance (PdM)

Field Service Management (FSM)
• Warranty & Claims Management​
• Supply Management​
• Service Engineers Management
• Request Management Center

Key add-ons
• Real-time equipment monitoring
• DWH and BI
• BigData processing and analysis
• Multifunctional dashboard

RCM Enterprise Asset Management
• Reliability Centered Maintenance standard
• Equipment Data Management
• Inspection Scheduling
• Maintenance Scheduling
• Predictive maintenance

Use case

Сable manufacturer with 250 equipment lines

Advantages

IT product
advantages

40 000 digitalized units and assemblies

200 methodologies
For equipment diagnostics and predictive maintenance

2000 staff complaints processed

1000 potential failures prevented

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Industry-specific implementation features

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Cable&Wire

Cable&Wire

It`s reduces machine downtime by 30–50% and cuts maintenance costs by up to 40% through IIoT, predictive maintenance, BI analytics, and RCM asset management.

  • IIoT Equipment Connectivity. Connection of production lines, real-time visualization of equipment status, digital operating models, and a foundation for Predictive Maintenance.​

  • Field Service Management. Handling of service requests, warranties, and replacements, with automation of service engineer workflows and spare parts management.​

  • Analytics & BI Monitoring. Real-time operational control, consolidated analytics, Big Data processing, and dashboards for data-driven decision-making.​

  • RCM-Based Maintenance Approach. Reliability-centered maintenance according to RCM standards: asset management, inspections, and scheduled preventive and predictive maintenance.

This solution usually goes in the package with others

The following components help to increase the efficiency of the decision

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