Statistics & Measurement Training
BRC Statistics and Measurement courses provide technical training in a variety of statistical methods used for data analysis, decision-making and process improvement.
MSA (Measurement Systems Analysis)
In-depth study of MSA, an approach used to evaluate the test method, measuring instruments, and the process of obtaining measurements to ensure the integrity of data used for analysis and to understand the implications of measurement error for decisions made about a product or process.
The nature of measurement systems, and the fundamental analysis used to examine them, will be explored.
This course covers the requirements of AIAG MSA 4th Edition.
SPC (Statistical Process Control)
This course provides a detailed introduction to Statistical Process Control, a method of quality control used to monitor and control processes with the goal of maximizing production and minimizing waste.
The role of statistical techniques (statistical process control, process capability analysis, etc.) as a foundation for continual improvement is explored.
This course covers the requirements of AIAG SPC 2nd Edition.
Core Tools (APQP, FMEA, MSA, SPC & PPAP)
Knowledge and effective use of the AIAG automotive core tools is one of the most important mechanisms for an organization who wants to develop a robust quality management system, and consistently manage its key processes.
This course provides attendees with an overview of, and introductory instruction in, all 5 of the Automotive Core Tools – APQP, FMEA, MSA, SPC & PPAP.
Measurement Uncertainty
This one-day course teaches a practical approach to measurement uncertainty applications for testing and calibration laboratories, and teaches participants how to identify, quantify and report uncertainty.
Topics include the steps required, accepted practices, and the types of uncertainties that need to be considered by accredited laboratories.
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DoE (Design of Experiments)
In-depth training on the Design of Experiments (DoE), a structured method for determining the relationship between factors affecting a process and the output of that process.
Using the classical experimental approach, participants will be guided from the strategy of experimentation through to the implementation of fractional factorial experiments.
GD&T (Geometric Dimensioning and Tolerancing)
Discover cost savings at the design, manufacturing and inspection stages of the organization as a result of the proper application and implementation of the GD&T system. Learn how to recognize and apply bonus geometric tolerances, rework parts to meet requirements, use functional gauges to effectively verify geometric requirements, and more.
Training is based on the ASME Y14.5M-2009 standard and can be customized to different lengths (from 1 – 3 days).
