Measurement Systems Analysis 2019

  • 19 Feb 2019
  • Webinar

Description

Measurement Systems Analysis 2019 is a webinar that covers topics such as:

  • How gage variation, a function of repeatability and reproducibility (R&R, alternatively equipment variation and appraiser variation respectively), affects outgoing quality, process performance estimation, and statistical process control
  • The difference between accuracy, as ensured by calibration, and precision, as assessed from a MSA
  • If gage variation is built into the estimate of process variation, the estimated process performance index will be lower
  • The chance of accepting nonconforming work, and rejecting good work, increases near the specification limit(s)
  • The components of gage variation (repeatability and reproducibility), and how to estimate them from data
  • Gage variation is included in the estimate of variation for statistical process control, which means the control limits will be wider and less able to detect genuine process shifts. The false alarm rate will not, however, increase
  • The recognized methods for gage studies, including number of parts, number of inspectors, measurements per part, and also the need to randomize the order in which the parts are measured
  • Basic directions are provided for StatGraphics and Minitab, and the handout adds instructions for Microsoft Excel
  • Potential remedies for non-capable gages, including guard banding (tightening the acceptance limits to protect the customer from nonconforming work, at the expense of rejecting some borderline acceptable product)

Measurement Systems Analysis 2019 is intended for:

  • Manufacturing Departments
  • Quality Departments
  • Production Departments
  • Engineering Departments
  • Everyone with responsibility for dimensional measurements
  • Quality Technicians and Inspectors

Past Events

Important

Please, check "Measurement Systems Analysis" official website for possible changes, before making any traveling arrangements

Event Categories

Business: Quality assurance
Government & Global Issues: Law & Regulations
Health & Medicine: Medical device, Medical laboratories
Science: Engineering

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