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SPC & MSA Training Course

Statistical Process Control (SPC) and Measurement System Analysis (MSA) Training Course

4.6 / 5

This course focuses on providing participants with a detailed understanding of Measurement System Analysis (MSA) & Statistical Process Controls (SPC). Various aspects of the tools will be understood during the course theoretically along with practical exercises & group discussions. The participants will be able to establish a foundational knowledge base to analyze your process with the help of SPC. You will be able to gain an understanding of how to develop measurement systems.

Learning Curve

SPC

Develop SPC tools based on customer requirements & acceptance criteria.
Concept of Sigma
Concept of Variation
Control Charts
X bar, R Chart
Out of control signals
Process Capability

MSA

Introduction to Measurement System Analysis
Accuracy & precision
Bias, Linearity, Stability, Repeatability & reproducibility
Analyzing measurement system

Who can attend?

Personnel from Engineering, Quality, Production, and Process engineering.
1st & 2nd Party Auditors
Supplier QMS Development Professionals
People involved in Quality& Quality Management system
Management Representative
Quality Management System Consultants.

Pre Requisite:

Basic knowledge of SPC & MSA would be an added advantage.

Note: - Different topics of 5 core tools can be included in the course based on the client's requirements.

For any queries or further information related to our services, please feel free to contact us at info@qacamail.com or call us at +919599619392. We are here to assist you!

Frequently Asked Questions

The SPC and MSA Training Course is designed to help professionals understand Statistical Process Control (SPC) and Measurement System Analysis (MSA) techniques used to monitor process performance, reduce variation and improve product quality in manufacturing operations.

This course is suitable for professionals from quality, production, engineering, process engineering, supplier quality and manufacturing functions, as well as auditors and consultants involved in quality management systems and process improvement activities.

The training covers concepts such as process variation, sigma levels, control charts, X-bar and R charts, process capability studies, accuracy and precision, bias, linearity, stability, repeatability, reproducibility and measurement system evaluation techniques.

Statistical Process Control (SPC) is a quality management method that uses statistical techniques and control charts to monitor manufacturing processes, identify variations and maintain consistent product quality.

Measurement System Analysis (MSA) is a method used to evaluate the accuracy, precision, repeatability and reliability of measurement systems to ensure that collected data is trustworthy and suitable for process decision-making.

SPC and MSA help organisations reduce process variation, improve product consistency, enhance customer satisfaction, minimise defects, support IATF 16949 compliance and strengthen data-driven quality improvement initiatives.

Yes, the course includes practical exercises, group discussions, process analysis activities and real-world manufacturing examples to help participants apply SPC and MSA tools effectively within operational environments.