JK Tornel Tire landing
Tire Manufacturing · JK Tornell Tyres · Data as of Jan 2026

PLANT RELIABILITY.

Equipment Faults + Process Anomalies

JK Tornel — a leading tire manufacturer running high-speed, high-load production assets where reliability directly drives output and quality — didn’t just monitor its operations. It closed the loop: from raw sensor signal to prescribed action to user-validated production outcome. Here’s what a 99% Trust Loop looks like at scale.
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Hrs Downtime Eliminated
Unplanned. User-validated.
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Prescriptions
Acted Upon
66.45% implementation rate
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Prediction Accuracy

Across 14 areas, 71 critical assets
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Annual Maintenance
Savings
Realized at Banbury Mixer
All figures validated by JK Tornel's Reliability & Operations teams via PlantOS™ Prescription Engine
What's inside

FROM NOISE
TO OUTCOMES.

Mechanical Faults
Vibration, coupling defects & misalignment

Physics + AI models detect coupling defects, structural looseness, and base rigidity issues across Banbury Mixer gearboxes, Triplex Extruder motors, and Calender Roll drives before they cascade into unplanned downtime.

Electrical Faults
Motor overheating &
cooling failures

Temperature trend analysis at motor DE and NDE bearings surfaces cooling fan reversals, lubrication failures, and load imbalances before they trip extruder motors and mixer drives across tire production lines.

Process Induced Faults
Parameter drift &
production deviation

Continuous monitoring across Banbury Mixers, Hold and Feed Mills, Duplex–Triplex Extruders, 4 Roll Calenders, Tyre Building, and Curing systems detects process shifts before they cost tons of production across high-load tire manufacturing.

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14 areas. 71 critical assets. One Single Source of Truth.

How JK Tornel unified its tire plant — 167 total assets across mixing, milling, extrusion, calendering, tyre building, and curing — into a single contextualized source of truth.

Contextualization layer
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Physics + AI: precision that predictions can't match

PlantOS™ doesn't flag anomalies. It traces root cause — across mechanical, electrical, and process domains — with 100% prediction accuracy and zero missed faults.

Intelligence layer
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Diagnostic → Recommendation → Action

48 prescriptions acted upon. 66.45% implementation rate, building toward 90%+ adoption through expert training. Real Diagnostic Reports with specific corrective steps — not dashboards, not alerts. Work orders that close.

Prescriptive engine
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Outcomes the plant's own operators signed off on

376 hours of unplanned downtime recovered. 108-hour MTBR achieved on production line. $46,245 in annual maintenance savings realized. All figures from JK Tornel's own Maintenance & Operations teams.

Validated outcomes

Prediction

Outcomes.

Most AI deployments stop at the alert. They predict. They visualize. They dashboard. But prediction without a closed loop is just a more expensive alarm bell.

JK Tornel’s deployment with PlantOS™ proves the gap isn’t in the model — it’s in the mile between insight and action. The 99% Trust Loop™ is what bridges it.

PlantOS™ has consistently been very helpful. Its precise vibration alerts and clear prescriptive recommendations, like the one for Gearbox 2 on our Banbury mixer to make corrective alignment, have enabled us to act quickly and prevent major downtime.

Mr. Carlos Guzman

Banbury Mixers Area Maintenance Supervisor, JK Tornel, Mexico