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  • Understand the concepts underlying the MSA study and the normative environment
  • Learn how to implement MSA methods
  • Understand MSA terms (EV, AV, GRR, TV and PV)
  • Learn how to interpret and meet MSA requirements (GRR<30%, ncd>5)
  • Understand how MSA works in relation to production needs

Technicians, metrology managers, quality managers who have to deal with MSA requirements.

  • Basic maths skills
  • Basic Excel skills
  • Be subject to MSA requirements or be aware of said requirements

By the end of the course, the participant will have a sound understanding of MSA principles and requirements. They will be able to set up tests that conform to the recommendations and provide a rationale for the results in relation to the requirements listed in the booklet.

Programme

Measurement uncertainty

  • What is an uncertainty?
  • Principle of the uncertainty calculation
    Reminder of basic statistics principles
  • Characterisation of a random variable
  • Central limit theorem
  • Small sampling theory
    MSA methods
  • The MSA method (4th edition)
  • Evaluating stability
  • Evaluating bias
  • Evaluating linearity
  • Evaluating dispersion: Average and Range method
  • ANOVA method
  • Attribute MSA
  • Non-reproducible measurement MSA
    Putting the MSA principle into practice
  • Interpret/improve “Non-Conform” R&R results
  • Meaning of GRR>30%
  • Choose the right TV
  • What does NDC (Number of Distinct Categories) mean?
    Capability and industrial risk
  • Declaration of conformity (NF EN ISO 14253-1, NF ISO CEI Guide 98-4, Guardbands) VDA 5 and ISO 22514-7
  • MSA vs CNOMO
  • Industrial risk
  • Relationship with SPC
    Practical training
  • Application to real-life case studies at the company
From 3000 € 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
From 2625 € Ex. Tax Course available in full online format Pre and post-course support and follow-up - Remote Coaching Customized
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Additional training courses

General metrology
MT01 Introduction to metrology
MT02 Methods for optimising calibration intervals (FD X07-014) and monitoring operations
MT03 Learn how to meet MSA requirements
EX01 Improving the metrology department: strategy and tools
EX02 Advanced course in evaluating measurement uncertainties
EX03 Latest calibration definition taken from VIM 3: Use of M-CARE modelling software
EX04 NF ISO/CEI Guide 98-4: Client and supplier risks
IN01 Introduction to evaluating uncertainties in measurements and tests
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
ST03 Inter-laboratory comparisons and proficiency testing procedures based on NF ISO 5725 et NF ISO 13528
FP01 Practical introduction to calibration/verification techniques in the industrial sector
FP02 Extra practical course component delivered via video-conference
FP03 Setting up the drift method with Optimu
FP04 Setting up the OPPERET method
FP05 E-LEARNING CYCLE METROLOGY AND BUSINESS RESUMPTION PLAN Let’s make a fresh start!
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
  • Pragmatic approach with a direct in-field application
  • Feedback on how Deltamu applies these methods in real-world scenarios at its customers
  • Can be applied to company-specific issues