How to avoid downtime with predictive maintenance - Plant Engineering
What happened
Plant Engineering outlines how advanced analytics and AI enable predictive maintenance and convert condition signals into planned interventions. The article stresses that integrations with existing systems let model outputs trigger structured notifications and automated work orders, making predictive approaches operationally real. Watch whether vendors can document end-to-end data flows and practical handoffs to procurement and CMMS
Why the category manager should care
Treat predictive maintenance as a process change: procurement must validate data handoffs and ordering triggers before adjusting inventory levels
Key facts
- Focus on integrations that convert analytics into work orders
- AI and advanced analytics reduce time spent on manual data prep
- Emphasizes 'human-in-the-loop' SME role for sustainable deployments