Organization always overlooks the impact of not having capable measurement systems. Good parts are wrongly rejected, and bad parts are mistakenly accepted, or a satisfactory process appears unsatisfactory.
A capable measurement system will enhance the effectiveness and efficiency in implementing any process control program and improvement initiatives because the actual variables of interest now lies directly with the processes itself.
This course will enable the participants to:
• Understand the fundamental principle of measurement system and its effect and impact on thequality of measurement data and the accuracy of the process analysis.
• Interpret the types of variations influencing the measurementsystem performance.
• Conduct Variable and Attribute Measurement System Studies.
• Acquire the use of statistical techniques to evaluate the measurement system in terms of GR&R % and ndc (Number of Distinct Categories).
• Appreciate the use of available software to compute the result of Measurement System Studies.
1 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
2 Types of Measurement System Variation
2.1 Source of Variations
3 Computation Techniques Associated with GR&R
4 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
5 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
6 Assessing Measurement Systems
6.1 Background : Measurement System Overview
6.2 Selecting and Developing Test Procedures
6.3 Preparation for a Measurement System Study
7 Variable Measurement System Study
7.1 Range Method (Rapid Approximation)
7.2 Average and Range Method (XBar-R)
7.3 Standard GR&R Study
7.4 Analysis of Variance (ANOVA) Method
7.5 Application of ANOVA using Computerized Software (e.g Minitab)
7.6 Interpretation of ANOVA Result & Number of Distinct Categories
8 Attribute Measurement System Study
8.1 Attribute Gage Study (Go/No Go Method)
8.2 Visual Standard: Based on Percentage of Correct Decision
8.3 Visual Standard: Based on “Inter-raters Agreement” In Terms of
Cohen’s Kappa Value
9 Method for Reducing Unacceptable GR&R Result
10 Application of Calibration Techniques In Measurement System
10.1 Measurement Error vs Measurement Uncertainty
10.2 Calibration System / Measurement Traceability
10.3 Major Categories of Calibration
10.4 Review and Discuss Certificate of Calibration
10.5 Determination of Calibration Interval
11 Impact of GR&R on Process Capability Studies
11.1 Interpretation & Application of Process Capability Studies
11.2 Computation of Estimated Process Standard Deviation
11.3 Calculation of Process Capability Index
12 Class-room Assignment and Exercises
Study: Impact of GR&R on Process Capability Studies
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.
AWARD OF CERTIFICATE
Certificate of Completion will be issued to participants who have attended at least 75% of the course.
2 days | 9am – 5pm | 14 hours
Registration Fee of $17.12 apply
SDF funding & SkillsFuture applicable
All fees stated are inclusive of 7% GST
We also provide customized in-house training starting from S$2,000 per day. Please contact us for more information on our products and services.
Contact: Jonathan Koh
DID: 6467 4225
Fax: 6467 4226