MSA – Measurement System Assessment

Introduce

Accurate measurement is the foundation of any quality improvement process. Measurement System Analysis (MSA) is an important tool that helps you evaluate the reliability and accuracy of your measurement system, ensuring that the data collected is reliable enough to make informed business decisions.

At LSSI, the Measurement System Analysis (MSA) course not only provides you with in-depth knowledge of measurement system evaluation methods but also guides you through conducting research through real-life scenarios, interactive exercises and group activities. This training program will help you confidently apply analytical methods to your work, improve process efficiency and enhance the quality of your organization’s operations.

Training objectives

• Understand and apply basic concepts such as accuracy, repeatability, bias, linearity, and stability in the analysis of measurement systems.
• Identify how and why to conduct GR&R research in the quality improvement process.
• Analyze and validate a measurement system through testing
• Identify and resolve measurement system errors that affect data quality.
• Apply the acquired knowledge to improve measurement process efficiency in practical situations.

Object

• Director, manager or department head
• Managers, technicians, and engineers
• Officers and specialists in charge of research, analysis, and product or process improvement
• Quality staff

Prerequisites

There are no prerequisites required for participation in the MSA – Measurement Systems Assessment program and the program welcomes all new members.

Training methods

• Do practical exercises and final presentation
• Study 50% theory and 50% practice in parallel
• Group discussion, presentation
• Simulation games
• Handling the situation
• Coaching

Training form

• ONLINE via Google Meeting platform or
• OFFLINE at 223 Nguyen Xi – Binh Thanh – Ho Chi Minh
• Number of sessions: 6 sessions – 3 weeks
• Class time: 18:30-21:30 weekday class, 8:30 – 16:00 weekend class