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Quality & Auditing

Measurement System Analysis and Gauge R and R

Delegates learn to establish confidence in their measurement data by quantifying and reducing measurement error. The course covers bias, linearity, stability, and the widely used gauge repeatability and reproducibility study for variable and attribute gauges. Practical exercises use real gauges and parts so that participants can run a study independently afterwards.

2 DaysIn-house or publicLive online available

Course outline

What this programme covers, module by module.

  1. 01Explaining the sources of measurement system variation
  2. 02Assessing bias, linearity and stability of a gauge
  3. 03Planning and running a variable gauge R and R study
  4. 04Conducting attribute agreement analysis for pass fail gauges
  5. 05Interpreting results and acting on failing measurement systems
  6. 06Building confidence in the data that drives decisions

What you will gain

  • Explain the sources of measurement variation
  • Assess bias, linearity, and stability of a gauge
  • Plan and run a variable gauge R and R study
  • Conduct attribute agreement analysis
  • Interpret results and act on failing systems

Who should attend

  • Calibration and metrology technicians
  • Quality engineers
  • Inspection staff
  • Process improvement practitioners

Upcoming sessions

DateCityDurationFeesBook
2 to 3 Nov 2026London2 DaysUS$1,100
16 to 17 Nov 2026Dubai2 DaysUS$1,100
30 Nov to 1 Dec 2026Pretoria2 DaysR10,000
11 to 12 Jan 2027Durban2 DaysR10,000
22 to 23 Feb 2027Cape Town2 DaysR10,000
3 to 4 May 2027Johannesburg2 DaysR10,000
5 to 6 Jul 2027London2 DaysUS$1,100

Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.

Enquire about this course

Register your team or ask for a tailored in-house quote. We reply within one working day.

WhatsApp usCourse brochure (PDF)
Fees from
R10,000 per delegate
Duration
2 Days
Field
Quality & Auditing
Formats
In-house, public, online

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