Regal Swiss supported the integration of AI for predictive maintenance in small Asian manufacturing plants, modernizing legacy equipment monitoring. Our process involved sensor data analysis, using Zapier to automate alerts from IoT devices and OpenAI to predict failures via historical logs. N8N linked maintenance schedules with production ERP for seamless workflows. We incorporated downtime simulations and compliance with Asian safety standards. Training sessions equipped technicians with dashboard usage. This proactive approach extends asset life and reduces interruptions. Ideal for legacy manufacturers, our implementations lower repair costs, enhance safety, and optimize production, helping Asian firms maintain competitive output in labor-intensive industries.
SDICOM
Zapier, OpenAI, N8N, IoT, Predictive Maintenance, ERP
Predictive maintenance automation implementation
Regal Swiss manufacturing automation and IoT integration team
Analyzing sensor data from outdated manufacturing equipment
Predicting failures accurately in high-vibration environments
Integrating with legacy ERP for maintenance scheduling
Complying with Asian industrial safety regulations
Utilized OpenAI for log-based failure predictions
Deployed Zapier for IoT alert automations
Configured N8N for ERP-maintenance integrations
Incorporated safety-compliant simulation modules
Decreased unplanned downtime by 45% proactively
Extended equipment lifespan by 30% on average
Reduced maintenance costs by 25% through efficiency
Improved safety compliance scores significantly