Measurement System Analysis

The focus is on understanding the methods, not mathematics, the integration of this method into processes requiring process validation suitability (trial planning, process capability) is closely examined, the steps in the process are explained as we work on application examples, trust in the process is built, and from a practical point of view, a clear strategy for using the verification process suitability is given.

Course outline: 

1. Statistical basics
2. Work Steps in Verification Process Suitability

Overview

Course Content

Statistical Basics

• Important distributor types for verification process suitability (normal, binomial)
• Formula for dispersion completion (3+4=5)
• Basic understanding of confidence intervals (mean value, standard deviation)
  
  

Work Steps in Verification Process Suitability

• Dissolving the verification facility
• Repeatability (variation under optimum conditions)
• Reproducibility (variation under real conditions)
• Correctness (no bias)
• Long-term stability
  
  

Objective

Target Groups & Requirements

Training Methods

• Emphasis on understanding the methods rather than complex mathematics
• In-depth exploration of integrating methods into processes that require validation, such as trial planning and process capability
• Step-by-step explanation of the process using real-world application examples
• Building confidence in the process through practical understanding
• Providing clear strategies for verifying process suitability from a practical perspective
  
  

This training is aimed at staff in development, quality assurance, and test centers who want to assure the capability of their measuring processes.

Requirements:

• Mathematical thinking
• Interest in examining the validity and the potential for improvement of verification processes
  
  

• The course includes lectures, simulations of specific scenarios, discussions of real-world application examples, and hands-on exercises.
• Simulations and practical exercises can be completed independently on a laptop, providing participants with a flexible and interactive learning experience.
• Worked examples will include detailed comments for better understanding