This TWO DAY course is designed to provide participants with an understanding of the principles of SPC and MSA and the methodologies for performing capability and measurement systems studies.  At the conclusion of the course, participants will be able to perform a capability study and generate and utilise SPC Xbar R charts.  In addition, participants will have performed an R&R study and be able to interpret the results in the context of the process variation and product acceptance criteria.

The course is highly practical and avoids detailed knowledge or discussion of statistics theory.

Key Session Topics

Introduction and concepts of variation

  • The existence and measurement of variation
    • Concepts
    • Variation
    • Data tables, histograms and run charts
    • Normal Distribution
    • Accuracy and Precision
    • Measures of variation (mean, mode, median, range, standard deviation and variance)
    • The standard deviation
  • Understanding and Managing Variation
    • Common and special causes
    • Taking appropriate action on common and special causes
    • Process improvement methodology
    • Reacting to special causes
    • Statistical Control, what it is, and the advantages of processes being in control vs tampering with the process

Control Charts

  • Role of control charts
    • Role and uses and definition of control charts
    • Drawing and interpreting control charts
    • Keeping control charts up to date
    • Types of control chart
  • X-Range charts
    • Use of charts
    • Preparation and use of control chart
    • Examples
  • Attributes Charts
    • c, p, np and u charts (overview)
    • Examples

Process Capability

  • Capability Analysis
    • Process capability (Cp, Cpk)
    • Performing a process capability study

Measurement Systems Analysis

  • Concepts of MSA
    • Measurement system elements and their contribution to measurement variation
    • Terminology and concepts (bias, linearity, stability, repeatability and reproducibility)
    • The statistical requirements of a measuring system
  • MSA Studies
    • Bias (overview and methodology)
    • linearity (overview and methodology)
    • stability studies (overview and methodology)
    • Measurement Uncertainty (overview)
    • Measurement system analysis and studies (variable and attribute)
    • Repeatability and Reproducibility
    • Performance of a gauge R&R study
  • Interpretation and use of study data (from example data provided)
  • Using data for cost-saving (calibration intervals, number of measurements taken etc)


  • Hands on experience in how to produce an MSA study
  • An understanding of how MSA studies are carried out and used to determine the suitability of measurement systems.

Who should attend

  • People with responsibility for design / process engineering who should be requiring MSA studies to help them specify tolerances, production processes and acceptance criteria, and need to understand the information when it is presented.
  • Those who are required to support MSA studies, but are not directly responsible for the analysis.
  • In house "experts" who need to plan and execute MSA studies and will become the "champions" for the appropriate use of MSA to drive continuous improvement and influence senior management.

Course techniques

Understanding is developed through the use of tutorial sessions and practical interactive workshops and case studies, which provide the student with the opportunity to put the skills taught during the course into practice.

Follow up

Consultancy assistance with documentation and implementation programmes can be provided.

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