• Understand the concept of industrial risk with regard to measurement (Client and Supplier, Overall and Specifics)
  • Overview of standards governing measurement-related risk management
  • Learn how to perform probabilistic calculations on industrial risks (Client and Supplier, Overall and Specifics)
  • Identify guardbands based on NF EN ISO/CEI Guide 98-4 (Guardband)

Production managers, quality managers and metrology managers responsible for issuing declarations of conformity who want to learn more about the new approaches discussed in NF EN ISO/CEI Guide 98-4.

  • Basic knowledge of statistics
  • Basic Excel skills
  • Basic maths and statistics skills

By the end of the course, the participant will understand the challenges of the declaration of conformity. They will be able to select the best-fit strategy for their company. They will be able to give reasons for their choice (reference standards and statistics tools).

Program

Reminder of the principles of applied statistics

  • Position, dispersion, normal distribution
  • Concept of risk arising from measurement
  • Mathematical modelling of risks
  • Graphic modelling of risk
  • The various types of risk
    Standards inventory
  • NF EN ISO 14253-1
  • NF ISO 22514-7
  • Measurement System Analysis (MSA)
  • NF ISO/CEI Guide 98-4
    Modelling industrial risks
  • Reminder of the principles of numerical simulation
  • Client risk / Supplier risk
  • Risk and the calculation of adjusted tolerances (Guardbands)
  • Overall risk and specific risk
  • Dealing with cases on non-normal distribution
    Applications
  • Excel file
  • Simple teaching case studies
From 1000 € 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 875 € 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
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  • An enjoyable way of learning how to use mathematical tools
  • Practical application of a numerical simulation using Excel
  • Provision of Excel tools used to identify risks (Client/Supplier)