Comprehensive Gauge R&R Study

Course Objectives

These included the statistical concept, procedure, planning and performing a gauge R&R study, especially the variable data of  X̅ & R method is more thoroughly for the variations such as equipment variation (EV), appraiser variation (AV), and part variation (PV) on the repeatable measurements.

  • Understand the probabilities and statistics concepts that are used in Gauge R&R studies.
  • Understand the X̅ and R, and ANOVA methods are based on range and standard deviation approach respectively, and appropriate application for these methods.
  • Understand the issues involved in repeatability and reproducibility (R&R) studies
  • Plan and conduct the gauge R&R studies for attributes and variables data.
  • Understand the measurement variations for a measurement system.
  • Learn how to estimate the repeatability and reproducibility in a measurement process
  • Understand the attribute study is to ensure the effectiveness of the inspection system.
  • Estimate the probability of correct decision on product acceptance for certain Cp that will improve confidence when make a measurement.
  • Decide on the acceptance or suitability of a measurement system.
  • Avoid any significant measurement error on product acceptance and on control charts and/or process capability studies that will provide validity for statistical control.
  • Provide criteria for accepting new measuring equipment.
  • Comparisons between different measuring devices can be made more effectively.
  • Evaluate deficient gauges as opposed to incapable/out-of-control processes (False alarm – Risk of unnecessary action taken on In-control process).
  • Organize the format (just upload the data and the criteria of GR&R study are automatically calculated) to perform a GR&R study by using Microsoft Excel.
  • Understand and apply misclassification rates, which is less subjective.
  • Apply and interpret the results are obtained from the gauge R&R studies
  • Improve equipment maintenance, selection, calibration, and use.
  • Improve observer’s training and skill (as necessary).
  • Handle the issues from the measurement system during measuring and auditing.
  • Understand the purpose of gauge R&R studies that will reduce the risks of wrong decisions on product acceptability, and this will improve the total quality control.

Target Audience

  • Laboratory
  • Production line and quality control personnel
  • Anyone who must determine the accuracy and precision of gages
  • Instruments, and operators in a measurement Process.
  • Experienced technicians
  • Orientation for new hires.

Methodology

Training slides, Review Questions, Exercises, Analysis by using Microsoft Excel, Excel Worksheet for Variable and Attribute Data of Gauge R&R Study, Case Study and Q&A and Test Before Training & After Training.

Course Modules

  • MODULE 1 : Basic Descriptive and Inferential Statistics

  • MODULE 2 : Probability Concepts Used in Gauge R&R Study

  • MODULE 3 : Awareness of Measurement

  • MODULE 4 : Measurement System Parameters

  • MODULE 5 : Preparation for a Gauge R&R Study

  • MODULE 6 : Measurement Capability Indices

  • MODULE 7 : Variable Gauge R&R Study

  • MODULE 8 : Attribute Gauge R&R Study

  • MODULE 9 : Analysis of Conditional Probability for the Results of Attribute Study

  • MODULE 10 : Conducting a X̅ & R Method of Gauge R&R Study

  • MODULE 11 : Reporting of GR&R Study Results by Using Excel (X̅ & R Method)

  • MODULE 12 : Gauge R&R Study by Using a Software (Crossed Design)

  • MODULE 13 : Graphical Analysis of Gauge R&R Study Results

  • MODULE 14 : Evaluation of Gauge R&R Study Results

  • MODULE 15 : Review Questions

  • MODULE 16 : Appendix   

  • MODULE 17 : Reference

Get To Know The Trainer

Trainer Ng

 4.5

Dr Ng is a qualified trainer registered with PSMB. He has been in Metrology career since 1991, he is a PhD holder in Business (Sunway University), doing research by using Applied Statistics, Master of Science in Statistics (UM), BSc in Chemistry (UM) and also holds his EC Part II in Electrical and Electronic (UK), having Professional Certification from America Society for Quality for: Certified Quality Engineer (CQE), Certified Quality Auditor (CQA), Certified Quality Inspector (CQI), Certified Quality Improvement Associate (CQIA), Certified Calibration Technician (CCT) and Certified Six Sigma Green Belt (CSSGB). His multi-disciplinary educational background enabled him to create the essence of the company’s core technologies.

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