Our day to day life is largely impacted by more and more data. In business and industry, we are using data in more ways than ever before.
If there are errors in our measurement system, we will be making decisions based on incorrect data. We could be making incorrect decisions or producing non-conforming parts. A properly planned and executed Measurement System Analysis (MSA) can help build a strong foundation for any data-based decision-making process.
From this video onwards, we are going to learn this concept of MSA and its practical application in real life with examples. To start with, this video is about explanation of all the basic terms used in MSA, so that later part will be easy for understanding.
I have explained all basic concepts from MSA in this video like Accuracy, Precision, bias, linearity, stability, repeatability and reproducibility, Number of distinct categories (NDC), Sources of Process variation, Part to part variation, Variation due to Measurement system and components of reproducibility i.e. by operator and operator by part.
I have explained these concepts with neat diagram which will be very easy to understand the concept. I am sure, you will like it.
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