How does your final product measure up to the desired specs?
You know the old saying – “Measure twice – cut once!” Although this is oversimplified a bit, it still holds true in today’s complex and exacting manufacturing processes.
Measurement system analysis (MSA) is an experimental and mathematical method of determining how much the variation within the measurement process contributes to overall process variability. There are five parameters to investigate in an MSA: Bias, Linearity, Stability, Repeatability and Reproducibility.
Measurement systems analysis assesses the adequacy of a measurement system for a given application. When measuring the output from a process, you should always consider two sources of variation: Part-to-Part Variation and Measurement System Variation.
If measurement system variation is large compared to part-to-part variation, the measurements may not provide useful information. Your Michigan Manufacturing Technology Center class will teach you valuable procedures and strategies that will enhance your ability to excel at your job!
The Michigan Manufacturing Technology Center is accredited by the International Association for Continuing Education and Training (IACET) and is authorized to issue the IACET CEU.