FR EN IT
  • Implement the calibration interval optimization methods described in booklet FD X07-014 in the Optimu “Optimization” module
  • Optimise the calibration intervals for the company’s measuring instrument base
  • Reduce MIM costs while also limiting risks

Anyone responsible for managing and determining calibration intervals for the company’s measuring instrument base. (Metrology managers, quality managers, employees involved in managing the measuring instruments base and the related calibration intervals)
  • Have access to Optimu software
  • Know how to use the MIM Module and/or have completed the course (FOP01)
  • Be familiar with the methods described in FD X07-014 (Optimization of measuring equipment calibration frequencies (metrological confirmation) and/or have completed a course ([Methods for optimising (FD X07-014) and monitoring (MT02)] calibration intervals (/fr/formation-metrologie/Generale/MT02/))
Program
  • Recap of the theory
  • Basic concepts and reminder of the methods described in FD X07-014
  • Application of the 3 methods in Optimu
  • Use alongside other Optimu modules (MIM, Uncertainty).
  • OPPERET method
  • Steps in executing a study
  • Integrating rating criteria
  • Performing calculations
  • Basic rules
  • Statistical drift analysis method
  • Identify a group of measuring instruments
  • Analyse the drift relating to each instrument (α-gradient)
  • Estimate the maximum gradient
  • Applying the result to an instrument group
  • Periodicity ratio method (Rper)
  • Theoretical review of the uncertainty calculation (GUM)
  • Transfer to Optimu
  • Practical exercises during the course
  • Summary, questions
From 1600 € Ex. Tax On site or at our premises For a group of up to 12 people CUSTOM - Pre and post-course support and mentoring
Remote Coaching
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From 1600 € Ex. Tax Course available in full online format Pre and post-course support and follow-up - Remote Coaching Customized
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IN02 Practical introduction to evaluating and exploiting measurement uncertainties
IN03 Evaluating measurement uncertainties using indirect measurements
IN04 Evaluating measurement uncertainties using the Monte Carlo method
ST01 Basic statistical tools used in measurement
ST02 Using applied statistics to process experimental data, measurement uncertainties and tests
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Metrology Software Optimu
FOP01 Measuring Instrument Management Module (MIM )
FOP02 Calibration module
FOP03 Movements module
FOP04 Uncertainty module
FOP05 Statistics module
FOP06 Administrative Management module
FOP07 Further Theory and Practice Module FD X07-014
FOP08 System settings
FOP09 Monitoring module
FOP10 Optimu.net module