Input (Variables) Map (#32)
We have split the article about
the “Six Sigma Root Cause Analysis” into a four-part series. The Input
(Variables) Map is part two in this series. The other parts include:
SIPOC(R) Diagram
Cause and Effect (C&E)
Matrix
Failure Modes and Effects
Analysis (FMEA)
The goal of the Input
(Variables) Map is to define the Inputs (X’s) of your process so you can
completely understand what Outputs (Y’s) are necessary. The main Six Sigma
equation is Y=f(X1, X2, X3, Xn).
Step
1
List the Process Steps as the “P”
(Process) in your SIPOC. You should have 12 steps or less; anything more than
12 steps and your project scope will be too big.
Step
2
Enter the measurable Outputs
from each step as the Process Measurable Outputs. Each Output is related to it’s
individual Step rather than the Input. This means that you do not have to have
the same amount of Inputs as you do Outputs. I.E. you can have 10 inputs in your
“Input” column with only 4 correlating outputs in your “Output” column.
Step
3
List the Process Inputs. Each
Input needs to be listed as noun (3 words or less). Write down every possible
Input for your Process, even if you think that it may not be important. The
Cause and Effect Matrix will help you eliminate those Inputs that are not necessary.
Step
4
Identify each Variable by it’s
type: Uncontrollable (U) or Controllable (C). C Inputs are the type of
Variables that can be altered when the process is going, I.E. you can alter the
temperature of the water or the settings on the shower head while you are
taking a shower. U Inputs are the type of Variables that cannot be altered when
the process is going because you cannot control these variables or you’re not
willing to control them (due to finances or politics, etc.). Example: when
cutting the grass, the weather could change from sunshine to rain, and you can’t
control it.
After you have completed your
Input Map and identified the Process Inputs, you can move on to the Cause and
Effect Matrix.
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