SmartEAM

Up to 50% less downtime and up to 40% lower maintenance costs. Predictive asset management powered by IIoT, BI analytics, and RCM.

Question

IT solutions designed to accelerate your workflow

Industrial Internet of Things (IIoT)
•Connects equipment in real time to monitor performance and predict failures. Enables data-driven maintenance decisions and reduces unplanned downtime.
• Visualization

Field Service Management (FSM)
Coordinates service requests, spare parts, and field engineers in a single workflow. Improves response time, warranty handling, and service execution efficiency.

Key add-ons
Provide real-time visibility through BI, data analytics, and unified dashboards. Support operational decisions with reliable, up-to-date production and asset data.

RCM Enterprise Asset Management
Applies Reliability Centered Maintenance to extend asset lifecycle and availability. Aligns inspections, maintenance schedules, and predictive models with EU standards.

Use case

Mid-sized European cable manufacturer operating 250 production lines

Presentation about SmartEAM

Advantages

IT product
advantages

40 000 digitalized units and assemblies

200 methodologies for diagnostics and predictive maintenance

2,000 staff requests processed

1000 potential failures prevented

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Industry-specific implementation features

Choose industry

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.

Step By Step

How the implementation takes place

Enterprise Asset Management, EAM

EAM (Enterprise Asset Management) is a systematic and coordinated activity of an organization aimed at optimal management of physical assets and their operation modes, risks, and expenses throughout the entire life cycle for achieving and implementing the organization’s strategic plans.

Predictive Maintenance

Predictive Maintenance is used in cases when the degree of use of equipment in the production chain is assessed as high, and its failure or long-term downtime leads to substantial financial losses.

Artificial intelligence, AI

Artificial Intelligence (AI) is a field in computer science and information technology, the task of which is to reproduce with the help of computer systems and other artificial devices intelligent reasoning and action.

PGA Electric implemented finished product price modeling using CableDesigner and CableCost tools on the IT-Enterprise platform

Elsewedy Electric has implemented IIoT Monitoring and end-to-end integration of production management levels on the IT-Enterprise platform

"Stalkanat-Silur" reduced time-to-market by 20+% thanks to the transformation of the technological chain in production together with IT-Enterprise

All cases

This solution usually goes in the package with others

The following components help to increase the efficiency of the decision

Manufacturing

R&D, PLM, PDM

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SmartEAM