The quality of data, and the measurement system that produces that data, is utmost important in any organization that focuses on a fact-based decision making process.

By the end of this workshop, the delegates will be able to:

• Basic knowledge of the principles of MSA and the methodologies for performance of measurement systems
• Understanding core terms of bias, linearity and stability.
• Use MSA to determine the suitability of measurement systems.
• Perform a Repeatability and Reproducibility (R&R) study.
• Interpret the results in the context of the process variation and product acceptance criteria.
• Use the data to improve the effectiveness of the measurement system.

Engineers, Supervisors, Technician, Lab Engineers.

DAY 1: 9:00AM – 5:00PM

Module 1: Measurement Process

• Measurement System Component
• Measurement Process
• Measurement as whole System

Module 2: Statistical Techniques for GR & R

• Standard Deviation Method
• R-Bar /d2/Ro/d2

Module 3: Measurement System Variation

• Variation Components
• True Part Variation
• Discrimination/Resolution

Module 4: Variable Measurement System Procedure

• Repeatability & Reproducibility (R & R)
• Gage Capability
• Computational method using R & R methods
• Procedure for Determining GR&R & % GR&R

Module 5: Computation of % GR & R and interpretation during Application

• Calculation of GR&R
• Process Variation
• Percent of Tolerance (P/T Ratio %)

Day 2: 9.00am - 5.00pm

Module 6: Gage Repeatability and Reproducibility methodology

• GRR process flow
• GRR Planning
• Process Mapping on Measurement System
• Cause and Effect of Measurement Error
• Source of variation statistics

Module 7: Measurement Variation

• Cause & Effect Diagram of Measurement Error.
• Sources of Variability
• Effect of Measurement Variability

Module 8: Risk of Misclassification

• Effect of measurement error in process capability
• Distinct Categories
• Parts classification and risks in measurement error

 Module 9: Handling Poor Gage Performance

• Equipment Measurement Capability
• Signal Averaging
• Nested Gage GR & R

Interactive presentation & input, lots of good and poorly written examples, practical exercises, peer and trainer evaluation.

Venu G C
Bachelor Engineering B.Eng. (Hons) U.M
Six Sigma Black Belt by Motorola University
Project Management Professional PMP©

Venu has been working in Quality and Analytics field for about 12 years. Started is a career after completed his higher education in University Malaya majoring in Material Engineering, with Motorola Semiconductor in 2006. He is practicing Six Sigma Black Belt, with more than 15-year experience.

Obtaining is six sigma training with Motorola, he was not only well versed in the theoretical concept but the hands-on approach in solving complex problems, driving process improvement activities, and quality across an organization. In later part of his career, he was involved in Big data Analytics, and spend considerable time, on implementing Analytics Concepts, such as Artificial Intelligence on the Manufacturing process, automated decision making and predictive concept manufacturing. He is one of the chosen team to drive Industry 4.0 in Western Digital when the concept started in 2012.

His tenure in Western Digital marked the time where manufacturing process going through automation and data-driven decision making and relying less on human dependent manual labor. His participation in the Industrial 4.0 core team was instrumental to drive this change across an organization. His team was actively involved creating and implementing artificial modelling to reduce effort spend to find the root cause. This much relieved the engineers to focus more on actual improvement and another task instead of firefighting to find root causes.

In his working experience he was exposed to many real-life case studies in engineering and manufacturing. A part of his career, he has been involved actively in training organization in six sigma, process improvement, analytics and other related subjects for the last seven years. He is well versed in his subject matters and deeply passionate about sharing his knowledge with everyone. As a trainer, he understands the need for both quality and analytics and how to make both works supplementing each other to bring organization to the new industrial age.

Beside process improvement and analytics, he has also been actively involved in the ISO standard implementation and audit. He is familiar and working with ISO 9001, IATF 16949, ISO 45001, ISO 14001 and ISO17025. He has been a core tool adviser for IATF16949 during his work experience in automotive semiconductor and precision parts for manufacturing to automotive parts. He has been a risk management advisor for many ISO implementation in a various organization he served and his consulting role later.

In the non-technical area, he has been actively involved in the EICC committee, which later transformed as RBA and Business Social Compliance Initiative (BSCI). His in-depth knowledge in understanding the manufacturing process, able to translate into the insight on how to comply with the social requirement of the manufacturing process.   

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