0:02 hello there now let's talk about
0:06 measurement system analysis measurement
0:08 system analysis is one critical
0:10 component of the measure phase this is
0:13 being taught in green belt black belt
0:15 and master black belt but let us give
0:18 you an idea of how really important it
0:21 is before you do any data analysis
0:24 measurement system analysis should be
0:26 conducted this six to answer this
0:29 question how would we know that the data
0:32 we have gathered reflects a reliable
0:34 source in short how do we know that our
0:38 data is correct now you might ask why is
0:40 it important for us to have a good data
0:43 or a clean data let me give you a
0:46 picture of what they call garbage in
0:49 garbage out remember that the data that
0:51 we will be collecting will be used for
0:53 decision-making let's go back a little
0:57 on the deed approach data insights and
1:00 decision when you have the ruinous data
1:03 therefore you will also have wrong
1:05 decisions and this will mean a lot to
1:07 your process and even to your
1:10 organization at large that is why we
1:12 have to undertake this critical question
1:16 on data accuracy and reliability there
1:19 are several sources of variation are
1:21 what we call measurement system error if
1:24 I talk about measurement system analysis
1:26 if we can see here there is always
1:29 variation from the output of a process
1:33 it could either be unit to unit for the
1:36 true variation and worst case there are
1:38 a lot of errors which can be classified
1:41 as measurement system editor you can see
1:44 now terms like precision and accuracy we
1:47 will not focus on this but rather on the
1:50 concepts of where are this tradition
1:53 coming from using swype as our guide you
1:55 can see that the possible sources of
1:58 error are the standard itself we don't
2:00 have any idea or we don't have clear
2:03 understanding of the standard the
2:05 workpiece or part there is something
2:07 wrong with the part or the service that
2:09 we are producing or handling or maybe
2:11 the instruments they are not calibrated
2:13 or not fit to use
2:16 the specific application it could be
2:19 also brought by the person doing the
2:21 hawk training of data or the procedure
2:23 that has been installed or maybe
2:25 combination of both the person doesn't
2:27 know how to use the procedure and also
2:30 one critical component will be the
2:32 environment this has an effect to the
2:34 data collection process now as you
2:37 collect your data and before you do your
2:40 analysis as yourself first is our data
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