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2 Days
$1,700.00
Course Objectives
Participants will discover the amounts and types of variation that exist in measurement systems, to ensure that product acceptance or process control decisions are based on “good data.” The course explains how to conduct studies to evaluate variability due to bias, repeatability, reproducibility, stability and linearity. Workshops will be performed to simulate the Gage R&R calculations per the AIAG Measurement Systems Analysis, Third Edition. The course will also give the student a means to evaluate and document the validation of test and calibration methods. The attendees will learn the measurement systems analysis requirements of ISO/TS 16949 and how the measurement system can impact the financial metrics of a manufacturing organization.
What You Will Learn
- Measurement as a Process
- Measurement system elements – the gage, part and characteristics, environment – and their contribution to measurement variation
- Determine the capability of a measurement system
- The importance of standards in evaluating measurement systems
- The statistical requirements of a measuring system: statistical stability, adequate discrimination, and variability.
- Performing bias studies
- Measurement system stability
- Linearity studies
- The requirements of the AIAG Measurement Systems Analysis, Third Edition
- Collect and analyze data for Gage Repeatability and Reproducibility Studies (Gage R&R).
- The relationship between a measurement system and manufacturing process
- The impact of the measurement system on the financial metrics of a manufacturing organization
Who Should Attend
- Quality and metrology managers
- Laboratory and technical personnel
- Design, manufacturing, process, quality, and test engineers
- Calibration and maintenance personnel
- Environmental laboratory managers
- Inspectors, technicians, SPC coordinators
- Suppliers
Note: Participants should bring a calculator that can perform statistical computations, average, standard deviation, etc.
Prerequisites
Participant s should be familiar with SPC and statistics.
Note: Paticipants should bring a computer with a spreadsheet program (e.g. MS Excel or equivalent) or a calculator that can perform statistical computations (e.g. TI 35 an equivalent or better).
 Download Registration Form
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