Predictive Maintenance Fundamentals
What you'll learn
- 1Understand the maturity spectrum from reactive to prescriptive maintenance
- 2Identify equipment data sources that enable AI-driven maintenance
- 3Build a business case for predictive maintenance investment
- 4Design a phased implementation roadmap for your facility
# Predictive Maintenance Fundamentals
Manufacturing maintenance has evolved through four maturity levels: reactive (fix it when it breaks), preventive (service on a schedule), predictive (service based on condition), and prescriptive (AI recommends optimal actions). Most factories are stuck between reactive and preventive. AI makes the jump to predictive practical and affordable.
The Maintenance Maturity Spectrum
Reactive — Fix it when it breaks. Lowest planned cost, highest total cost due to emergency repairs, production losses, and cascading failures. Typical unplanned downtime: 15-25% of production hours.
Preventive — Service on a calendar or run-time schedule. Reduces unplanned failures but creates unnecessary maintenance (replacing parts that have remaining life). Typical improvement: reduces unplanned downtime to 5-12%.
Predictive — Monitor equipment condition and service when data indicates degradation. Extends part life, reduces both unplanned failures and unnecessary maintenance. Typical improvement: reduces unplanned downtime to 2-5%.
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What you'll learn:
- Understand the maturity spectrum from reactive to prescriptive maintenance
- Identify equipment data sources that enable AI-driven maintenance
- Build a business case for predictive maintenance investment