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Good News - Bad News
We recently sent out a QI Macros ezine about analyzing manufacturing
performance data (link to rubber ezine). Many readers asked an interesting
question: if my data fits between the specification limits of the histogram,
but the control chart is unstable, is that good or bad?
The Good News
If your data fits between the upper and lower spec limits, then you are
meeting your customer's requirements.

The Bad News
Because the control chart shows that the process is unstable (shown in
red in the QI Macros), you may not be able
to meet your customers requirements consistently and predictably.

In other words, you just got lucky. The
process may not deliver on the customer's requirement next time. The question
is: Does it matter? Taguchi wondered about
this as well and did some research.
The Taguchi Loss Function
Taguchi suggests that every process have a target value and that
as the product moves away from target value, there's a loss incurred
by society. This loss may involve delay, waste, scrap, or rework. Look
at the control chart above. Sure, the product fits within the specification
limits, but as you can see, the customer might have to reset their production
machines several times to accomodate the changes in specifications. Loss!
The loss isn't linear. Taguchi theorized that the loss is proportional
to the square of the distance from the target value.

The parabolic curve describes the cost to society as the product moves
away from the target value (center between LSL and USL).
Warranty Example
Many years ago I read about an example from the automotive industry. One
company was building transmissions for cars in both Japan and America.
The American transmissions had five times the warranty issues.
To determine the problem, five transmissions were selected at random
from both the Japanese factory and the American factory. Then, they took
them apart and measured all of the specifications.
- American Transmissions
- All of the American transmissions had parts that fell within the USL-LSL.
Some measures were a little higher and some a little lower.
- Japanese Transmissions
- When the inspectors measured the Japanese transmissions, they got
worried, because they got the same value on each of the parts
on each of the five transmissions. They began to suspect that their
gauges were incorrect.
The Japanese transmissions measured identically on all of the key specifications.
There was no variation to speak of. Their graph looked more like this,
with the measures centered closely around the target:
Here's my point:
To truly serve your customer, your process has to be both stable
and capable. It can't just be one or the other.
- Stable - the control chart is in control
(no unstable conditions)
- Capable - the histogram fits inside the
specification limits (USL,LSL)
Stabilize your process
When the process moves around like this example, it probably means that
someone is changing the settings, without any real need to. Let the process
run and then adjust the settings to move it onto the target. Then leave
it alone unless it starts to drift.
Reduce Variation
Once the process is stable, use process improvement reduce the variation
(adjust the process to reduce the variation from the target).
Reduce the Loss
Stabilizing your process and reducing the variation will, in turn, reduce
the cost of the Taguchi Loss function. This will save you and your customers
time and money (rework, waste, and delay). And customers are smart. They
can tell the difference between two different transmissions and they can
tell the difference in quality between you and your competitors.
Make sure you're in charge of who your customers return to year after
year. Hitting the goal posts isn't good enough any more. You have to hit
the target value most of the time. Your customers will love you for it.
© 2008 Jay Arthur, the KnowWare® Man, works with managers who want
to plug the leaks in their cash flow.
Hire Jay Arthur to train your staff
in his one-day Lean Six Sigma Workshop!
Contact Jay at (888) 468-1537, lifestar@rmi.net.
Rights to reprint this article in company periodicals is freely given with
the inclusion of the following tag line: "© 2008 Jay Arthur, the KnowWare®
Man, (888) 468-1537, lifestar@rmi.net."
Want
to increase your profits and slash costs by $250,000? Consider our risk-free
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