Industry 4.0

Predictive Maintenance Cuts Downtime by 60% for a Manufacturer

IoT data, analytics and predictive models combined to identify equipment failures before they happened.

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60%Reduction in unplanned
downtime

IoTEnabled monitoring across
critical equipment

24×7Machine health monitoring
and automated alerts

Manufacturing plant floor with automation

The Challenge

Failures discovered only once the line stopped

Unexpected equipment failures were causing production interruptions and increasing maintenance costs.

Our Solution

Predicting failures before they interrupt production

Adhiran Infotech implemented an Industry 4.0 solution combining IoT data, analytics and predictive models to identify potential equipment failures before they occurred.

IoT instrumentation capturing condition data from critical equipment.

Predictive models learning each asset’s failure signature from that history.

Automated alerts reaching maintenance teams while there is still time to act.

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Key Highlights

What the engagement delivered

IoT-enabled equipment monitoring

Predictive analytics

Real-time dashboards

Machine health monitoring

Automated alerts

The Outcome

Maintenance planned, not reactive

Predictive maintenance helped the manufacturer reduce unplanned downtime by 60% and improve maintenance planning.

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60%

reduction in unplanned downtime

More Work

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Losing production to unplanned downtime?

Tell us which assets cost you the most when they stop and we will assess whether prediction is viable on your data.

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