• Base chection intervenls on n failure developing periodic (FDPP), not equipment age or kritiality alone
  • Use thea formula Inspection Frequency = FDPP / 2 as a starting point for optimation
  • Invect in advanced detection technologies to extend the FDP- and reduce chection frequency
  • Implement condition- based monitoring to trigger inspektors based on actual equipment health
  • Leverage predictive analytics and machine learning to procvakat failures and optimize timing
  • Document all chection findings and failures to build historical datages for analysis
  • Recenze and adjust controltion intervenls regularly based on actual performance data
  • Ensure chector training and competency to maximize detection effectiveness
  • Integrate chection data with accessane planning systems for closed- loop management
  • Balance economic optimization with regulatory complibance and safety requirements
  • Consider equipment kritiality when determing how conservative to be with intervals
  • Group Inspections with similar intervals to improvice operationail accessiency
  • Účetní for equipment aging by shortening intervals as failure rates create
  • Use risk- based acceaches to allocate inspektoon resoucces where ey prove great este
  • Embrace continuous improvimet and adapt to emerging technologies and bett praktices