M6. Data Collection Planning | Ask Lex PH Academy | YouTubeToText
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hello there now that we know that data
is important in Lean Six Sigma not only
in measure face but across all the faces
of the might methodology it is also
important for us to determine how can we
collect the data that we will process
moving forward presented here is an
example of a simplified general steps on
how to collect and stablish the baseline
measurement first select the measure
measure refers to the metric or the data
that we need to capture or collect in
order for us to have a good baseline of
the existing performance of the process
second is to develop a data collection
plan in data collection plan will serve
as a guide in order for us to know what
are the data that are need to be
collected and who will collect it in
ving forward and third is the actual
execution of the data collection plan or
the data gathering procedure when we
talk about data and data collection it's
very important for us to know what is a
primary data and what is irrelevant data
primary data is the main metric or main
KPI it will be the basis of
understanding the problem however having
a primary data is not enough that is why
we need to collect what we call relevant
data let's take the two examples given below
below
first is yield just to put context yield
is the ratio of good parts well over
total parts produce perish of the good
service all over the total number of
service rendered let's say we're talking
about yield in manufacturing setup not
only taking you will give the benefit of
what we want to know it's also important
to get relevant data about yield for
example the model of the product that we
are taking yield considerations the line
where it has been produced the day time
per shift of production or manufacturing
who are the operators involved during
its production the age of the products
and the tenure of the operators or
technicians could also help us in
understanding the root causes of the
problem in yield this is how we want to
understand the relationship between
primary and relevant data
let's take another example let's say
we're having a problem regarding a
tendency it's important for us to
determine relevant data such as gender
of employees their marital status their
tenure in our organization the process
of assignment the shift that they are
working for and the group that we belong
to all of this data relevant data as we
may see will be helpful in understanding
our problem with attendance now
understanding primary data and relevant
data presented in this slide is a data
collection plan this is a simplified
version of a full-blown data collection
plan first column talks about data data
means the basis of the problem for
example we have a problem with the
orderly time in a restaurant so let's
use an example of order lead time and
how do we measure order lead time unit
of measurement tells us that it is in
minutes it's important for us to know
and establish what called an operational
definition this will give a picture to
all the team members of how we
understood the definition of the data
for the material for this case order
lead time as defined order lead time is
the amount of time it takes from the
moment the customer started to order to
the moment the order has been served to
the customer this will be the basis of
our measurement for the order the time
sampling plan talks about the frequency
of getting the data for this case we
plan to get the data for orderly time
every order collection method will give
us an idea of how can we collect the
data for this case we plan to have a
time study for other cases it could be a
little review it could be cooling out of
data from the system and last column
talks about who will collect the data in
this example the restaurant systems
officer will be the one in charge in
collecting the data so this is how you
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