MATLAB & Simulink • Case StudyGlobal Industrial Manufacturer Slashes Equipment Downtime by 52% with MATLAB® & ServiceNow Integration
Bridged deep numerical vibration modeling directly with ServiceNow ITOM and Field Service Management, eliminating $1.2M in quarterly unplanned downtime.
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52%
Downtime Reduction
$3.8M
Annual Cost Savings
85 Days
Deployment Timeline
The Bottleneck
The Enterprise Challenge
Unplanned equipment downtime was costing over $1.2M quarterly due to lagging sensor analytics and manual field work order dispatching. High-frequency vibration signals remained siloed on plant floor historians.
Synora Soft Architecture
Architectural Solution & Execution
Synora Soft deployed a continuous MATLAB predictive maintenance engine running inside a containerized edge runtime, directly integrated into ServiceNow ITOM Health via streaming Kafka webhooks.
Core Technical Deliverables:
Edge telemetry ingestion at 10,000 Hz from 240 industrial hydraulic pumps
MATLAB Remaining Useful Life (RUL) algorithm calculating component degradation in real time
Automated ServiceNow Table API trigger generating prioritized P1 work orders
Direct technician routing with required SKF replacement bearings pre-reserved in inventory
“Synora Soft bridged our numerical simulation models with our operational field systems in under 90 days. Our mean time to repair dropped by 52%.”
VP Of Engineering at Automobile Manufacturer • Global Industrial Systems Corp
Technologies Deployed:
MATLAB Production ServerSimulinkServiceNow ITOMKafkaDocker
Architectural Partnership
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