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Measurement System Analysis

Measurement System Analysis (MSA101) focuses on evaluating the quality and reliability of data generated by measurement systems—an essential foundation for any organization that relies on fact-based decision-making. The course introduces key concepts in accuracy, precision, and repeatability, and guides participants through assessing the capability of their measurement systems.

Based on the AIAG’s 4th Edition MSA Reference Manual, this training meets the core tools requirement for the ISO/TS 16949 Standard, making it highly relevant for quality assurance in manufacturing and process improvement initiatives.

Course Objectives

☑ Understand the role of MSA in quality management and decision-making
☑ Learn how to evaluate measurement system accuracy, precision, and repeatability
☑ Apply MSA techniques to assess data reliability
☑ Align measurement system practices with ISO/TS 16949 requirements
☑ Use AIAG-compliant methods for conducting MSA studies

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About the Speaker

Bernardo M. Redoña, PhD

Dr. Bernie Redoña is a certified Six Sigma Black Belt with over 30 years of extensive experience in the semiconductor industry, specializing in Process Engineering, Product Qualification, Statistical Process Control (SPC) Implementation, Quality and Reliability. He earned his doctoral degree in Management major in Human Resource Management from University of San Jose Recoletos – Cebu, and holds both a Master of Engineering and a Bachelor’s degree in Electronics & Communication Engineering (ECE) from Mapua Institute of Technology. He is a Subject Matter Expert in Quality Tools and Statistical Techniques, including FMEA, 8D, DOE, Statistics, 7 QC Tools, SPC, and MSA. Dr. Redoña has held significant roles, including Quality and Reliability Director at STMicroelectronics Calamba, and has contributed to academia as a professor. His involvement extends to serving as Lead Assessor for the Philippine Quality Award, an Outstanding Mapuan Alumni in ECE, and more.

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Course Objectives

☑ Understand the role of MSA in quality management and decision-making
☑ Learn how to evaluate measurement system accuracy, precision, and repeatability
☑ Apply MSA techniques to assess data reliability
☑ Align measurement system practices with ISO/TS 16949 requirements
☑ Use AIAG-compliant methods for conducting MSA studies

About the Speaker

Bernardo M. Redoña, PhD

Dr. Bernie Redoña is a certified Six Sigma Black Belt with over 30 years of extensive experience in the semiconductor industry, specializing in Process Engineering, Product Qualification, Statistical Process Control (SPC) Implementation, Quality and Reliability. He earned his doctoral degree in Management major in Human Resource Management from University of San Jose Recoletos – Cebu, and holds both a Master of Engineering and a Bachelor’s degree in Electronics & Communication Engineering (ECE) from Mapua Institute of Technology. He is a Subject Matter Expert in Quality Tools and Statistical Techniques, including FMEA, 8D, DOE, Statistics, 7 QC Tools, SPC, and MSA. Dr. Redoña has held significant roles, including Quality and Reliability Director at STMicroelectronics Calamba, and has contributed to academia as a professor. His involvement extends to serving as Lead Assessor for the Philippine Quality Award, an Outstanding Mapuan Alumni in ECE, and more.

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