Fees: AAIS Member: S$988.63/pax w/GST
Public: S$1,096.54/pax w/GST
(inclusive of S$17.44 registration fee, the amount is to be excluded from SkillsFuture (individuals) and SDF Funding (corporate))
Fees reflected are inclusive of 9% GST (in 2024).
About the Course:
A capable measurement system will bring about an effective and efficient implementation of any process control program and improvement initiatives. The methodology adopted for MSA is referenced to AIAG-MSA and AS13003.
This course will enable the participants to: • Understand the fundamental principle of measurement system and its effect and impact on the quality of measurement data and the accuracy of the process analysis
• Identify the types of variations influencing the measurement system performance
• Acquire the use of statistical techniques, skills and ability to assess the measurement system
• Select the appropriate statistical methods for evaluating the measurement system in different environments
Who Should Attend?
This course is particularly suitable for and benefit to Engineers, Supervisors, Process Specialists or any personnel involve in quality assurance, process control and improvement activities.
Course Content:
Main Concept of Measurement System
1.1 Introduction, Purpose and Terminology
1.2 Quality of Measurement Data
1.3 Measurement Process
1.4 Statistical Properties of Measurement Systems
1.5 Standards: Background and Use of Standards
1.6 Purpose of Calibration & Calibration Systems
Types of Measurement System Variation
2.1 Source of Variations
2.2 Bias
2.3 Repeatability
2.4 Reproducibility
2.5 Stability
2.6 Linearity
Computation Techniques Associated with GR&R
Analysis of A Measurement System
4.1 Measurement System Discrimination
4.2 Process Variation – Location
4.3 Process Variation – Width or Spread
4.4 Analysis of Measurement System’s Variability using Work Examples: Bias / Repeatability / Reproducibility / Stability / Linearity
Effects of Measurement System Variability
5.1 Effect on Decisions
5.2 Effect on Product Decisions
5.3 Effect on Process Decisions
5.4 New Product Acceptance
5.5 New Process Acceptance
5.6 Process setup and control
5.7 Effectiveness in establishing QC / QA Systems
Assessing Measurement Systems
6.1 Selecting and Developing Test Procedures
6.2 Preparation for a Measurement System Study
Variable Measurement System Study
7.1 Guidelines for Determining Repeatability and Reproducibility: Range Method, Average and Range Method, Standard GR&R Study, Analysis of Variance (ANOVA) Method
Attribute Measurement System Study
8.1 Attribute Gage Study
8.2 Visual Standard: Based on Percentage of “Correct Decision” – Effectiveness / Miss Rate / False Alarm Rate
8.3 Visual Standard: Based on Inter-raters Agreement – Cohen’s Kappa Value
Method for Reducing Unacceptable GR&R Result
Impact of GR&R on Process Capability Studies
10.1 Determination of Calibration Interval
10.2 Computation of Estimated Process Standard Deviation
10.3 Calculation of Process Capability Index
Application of Calibration Techniques In Measurement System
11.1 Measurement Error vs Measurement Uncertainty
11.2 Calibration System / Measurement Traceability
11.3 Major Categories of Calibration
11.4 Review and Discuss Certificate of Calibration
11.5 Determination of Calibration Interval
Classroom Assignment and Exercises
Case Study: Impact of GR&R on Process Capability Studies
*Note: AAIS reserves the right to adjust the course pricing and to re-schedule or cancel any course due to unforeseen circumstances, course commencement is subject to minimum class size requirements.
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