Industrial IoT Factorynext
$2.3M cost avoidance per annum
AI-driven maintenance scheduling to prevent costly equipment failures.
Challenge
Unplanned downtime was costing Factorynext millions annually. Traditional scheduled maintenance was either too frequent (wasting parts) or too late (causing failures).
Approach
We implemented a predictive maintenance system using vibration and thermal sensor data. The system identifies early signatures of wear and schedules maintenance precisely when needed.
- Saved $2.3M in the first year by avoiding unplanned equipment failure.
- Increased overall equipment effectiveness (OEE) by 14%.
- Extended machine life cycles by an average of 22%.
Results
$0M
Annual Cost Avoidance
0%
OEE Increase
“We've moved from reactive to proactive. We haven't had an unplanned outage in six months, and the ROI was clear within the first quarter. That level of accountability is rare.”Head of Operations, Factorynext
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