COURSE OVERVIEW:

In any data-driven quality system, the reliability of the measurements is just as important as the quality of the product itself. This course provides a technical deep dive into Measurement Systems Analysis (MSA), a critical methodology for ensuring that measuring equipment and processes are capable of providing accurate and repeatable data. Participants will learn how to identify and quantify the various sources of measurement error that can lead to false rejections or, more dangerously, the acceptance of defective parts.

The scope of this training involves the application of statistical tools to evaluate both variable and attribute measurement systems. Attendees will master the concepts of bias, linearity, and stability, while focusing heavily on Gauge Reproducibility and Repeatability (Gauge R&R) studies. The curriculum emphasizes the practical execution of these studies in a laboratory or production environment, ensuring that participants can distinguish between variation caused by the process and variation caused by the measurement system itself.

Coverage includes the interpretation of MSA results in accordance with industry standards such as IATF 16949 and AIAG guidelines. Participants will learn how to determine the "Percent Tolerance" and "Percent Study Variation" to assess whether a measurement system is acceptable for a specific application. By the end of the course, attendees will be equipped to design and conduct MSA studies, analyze the data using statistical software, and implement corrective actions to improve measurement integrity and organizational decision-making.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

• Define the purpose and importance of MSA in quality management.
• Identify the common sources of measurement system error.
• Differentiate between Repeatability and Reproducibility.
• Conduct a full Gauge R&R study for variable data.
• Analyze measurement system Bias, Linearity, and Stability.
• Perform Attribute Agreement Analysis for non-numeric inspections.
• Interpret Gauge R&R results against industry acceptance criteria.
• Use statistical software to calculate MSA metrics.
• Identify the impact of poor measurement systems on process capability.
• Design an MSA plan for new measuring equipment.
• Troubleshoot and reduce variation in existing measurement processes.
• Ensure compliance with IATF 16949 requirements for MSA.

TARGET AUDIENCE:

Quality Engineers, Lab Technicians, Calibration Personnel, Six Sigma Green/Black Belts, and Production Managers.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximize the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.