MSA & SPC

In this module, you will receive an introduction to the use of measurement systems. You will learn the scattering components of MSA and develop a deep understanding of measurement system analysis. The module guides you step-by-step through the procedures of measurement system analysis (MSA), starting with the basics and moving on to a detailed look at important key figures such as Cg and Cgk for continuous and attributive measurement data.
You will also learn how to use control charts to effectively monitor process behavior. This preventative strategy allows you to proactively intervene in processes to identify and correct potential errors at an early stage or prevent faults from occurring before they manifest themselves.

Quick Info

Contents

  • Basics of MSA
  • Variation component
  • Resolution
  • MSA 1
  • MSA 2 (continuous, attributive)
  • Key figures (Cg, Cgk)
  • Measurement deviation (BIAS)
  • Scattering components
  • Reproducibility
  • Repeatability
  • Control chart technology
  • I/MR chart
  • P-chart
  • Linearity, stability
  • Sample size
  • Warning limit
  • Intervention limit
  • Specification limit
  • Trends in control charts
  • Process variations

Duration on request

Dates on request

Key information

MSA (Measurement System Analysis) and SPC (Statistical Process Control) are statistical methods used in quality control to check measurement accuracy and monitor processes. MSA focuses on analyzing the measurement system to identify sources of error such as bias and scatter. SPC, on the other hand, uses control chart techniques to monitor and control process stability and variation.

Beneftits

  • Improve product quality
  • Reduction of variability
  • Monitoring of processes
  • Ensure the capability of measurement processes
  • Recognize trends

Risks

  • Ongoing monitoring required
  • Qualified personnel required for data analysis
  • Less effective in dynamic environments

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