Measurement Systems Analysis (MSA) Training Course

Complete Course on Setting-up , Performing and Analyzing Measurement Systems for Quality and Operations

Ratings 3.37 / 5.00
Measurement Systems Analysis (MSA) Training Course

What You Will Learn!

  • Evaluation of measurement systems for an improvement project’s critical-to-quality characteristic.
  • How Gauge Repeatability & Reproducibility (GR&R) studies can be used to quantify the precision of a measurement system
  • Understand the fundamental concepts and importance of Measurement Systems Analysis.
  • Utilize MSA and GR&R to support process improvement initiatives.
  • Apply techniques to assess measurement accuracy and precision.
  • Ability to assess the performance of measurement systems using key standard metrics.
  • Evaluate the bias, linearity, and stability of a measurement system.
  • Conduct Gauge R&R (Repeatability & Reproducibility) studies.
  • Manage and/or eliminate variability in measurement systems.
  • Understand the implications of poor measurement system performance and its impact on decision-making.
  • Use software tools and applications commonly employed in MSA.
  • Interpret MSA results and make informed recommendations for improvement.

Description

Without adequate and sound measurement systems, knowing what the output of a process really is is hardly possible! A manufacturer might think that they are making good parts based on measurements made without knowing that the parts produced are seriously defective or out-of-tolerance because of the inappropriateness of the measuring device in that they are either inaccurate, out-of-calibration, or unstable.

In this detailed course, you will be exposed to many measurement system analysis techniques including how to conduct and analyze GR&R (Gage Repeatability and Reproducibility) Studies. You will understand what it means for a measurement system to be capable, consistent and uniform. You will be able to assess the performance of measurement systems using key standard metrics. You will be able to state the various measurement system standards.

You'll learn what must be accomplished to meet the requirements for a measurement quality system by ISO (and many other) standards. with specific emphasis on ISO 10012-1:2003. Quality assurance requirements for measuring equipment.

You will be able to evaluate a measurement system for an improvement project’s critical-to-quality characteristic. You will learn how Gauge Repeatability & Reproducibility (GR&R) studies can be used to quantify the precision of a measurement system, and gain deep understanding of many terminologies associated with measurement systems analysis (MSA) including but not restricted to precision, accuracy, bias, linearity, and stability. You will be able to apply concepts learnt in real-life in terms of seeing how project teams utilize MSA and GR&R to support process improvement initiatives. You would gain appropriate skills required for managing variability in measurement systems.

The Online Course provides a comprehensive introduction to the techniques and methodologies used to assess the reliability and accuracy of measurement systems. Through a blend of interactive video lectures, real-world examples, quizzes, and hands-on exercises, participants will delve deep into understanding the precision, bias, linearity, and stability of measurement systems. This course is designed to equip professionals with the skills to ensure data integrity, a critical aspect of quality assurance in various industries.

The course consists of FREE downloadable templates, white papers and other resources that you can practice with to enhance your skills or customize for your personal and/or professional usage.

Who Should Attend!

  • Quality Engineers, Supervisors, Managers and Other Personnel
  • Manufacturing / Production Engineers, Supervisors, Managers and Other Personnel
  • Manufacturing Operations Personnel
  • Business Leaders and Mangers etc.

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Tags

  • Manufacturing
  • Quality Assurance
  • Lean Six Sigma
  • Measurement System Analysis (MSA)

Subscribers

14

Lectures

24

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