Date(s):
Wednesday to Friday,
17 to 19 January 2024
 

Wednesday to Friday,
21 to 23 February 2024

Register:
Send your queries to training@aais.org.sg 
Time:
9am – 5pm (UTC +8)
Closing Date:
One week before course date.
Venue:
401 Macpherson Road
#03-16/17 Macpherson Mall
Singapore 368125
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.
Jointly Organised By: