As industries increasingly adopt predictive maintenance (PdM) to reduce downtime and optimize asset performance, having the right foundation in place is essential for success. This infographic provides a comprehensive framework to help factories assess their readiness for implementing predictive maintenance strategies. It highlights eight critical pillars, including asset criticality, data availability, sensor coverage, data quality, process maturity, workforce capabilities, analytics tools, and leadership alignment. Each pillar represents a key enabler that determines whether predictive maintenance initiatives can deliver meaningful value. Without reliable data, proper instrumentation, or skilled teams, even the most advanced analytics platforms may fall short of expectations. The infographic also introduces practical indicators and a readiness scorecard, allowing organizations to identify gaps and prioritize improvements systematically. By taking a structured approach, factories can build a strong foundation, reduce implementation risks, and accelerate their journey toward smarter, data-driven maintenance practices—detailed indicators and next steps are presented below.
