The
fine art of forecasting: Part 2
by R.T. "Chris" Christensen
One of the most
useful tools we have at our fingertips for managing maintenance
inventory is the ability to forecast the future. Unfortunately,
forecasting is also one of the most unreliable tools we have. And
because of the unreliability, we need to be extra careful. In
forecasting, we try to predict the future so we can minimize the risk
of having an unexpected event occur that we might not like. In the
current issue of MRO Today,
I discussed the forecasting tools and what they can do for you.
Now on the Web, I
have some thoughts for you to consider when you look to forecast
inventory requirements and face what we call “non-forecastable
items.” Under such a
scenario, you may wonder if the forecast tools will work after all.
I can’t tell you
the number of times I've had people ask me, "What's the best
forecast software to purchase?" In
one case, a maintenance manager was looking for the software to do
this forecast for him. He wanted software to be able to predict when
that failure would occur and shut the machine down at the last
possible instant before failure. I told him the software he was
looking for didn’t exist. Obviously, he did not like that answer. He
had told his corporation's higher-ups that he could increase the
utilization of those furnaces by managing the outages better and had
the green light to get the software he needed to get the job done. All
I asked him to do was tell me the hours in service and the date and
day that the furnace would fail. With that information, I could give
him the software package that would work for him. He thought I was
nuts.
He didn’t realize
that he was looking right into the weak spot of the software. All that
any software package does is take the mean time to failure, look at
the parts needed to do the repair and measure that against the planned
hours of equipment operation. Then the software does the math to
calculate the day and date the next planned outage might occur and
base that on historical averages. I asked him to tell me the exact
time to failure to load into the forecast equation. He couldn’t give
me that information because he didn’t know it. He also could not
predict to any degree of accuracy when failure would occur. He knew
“that the software could do that calculation for him.”
He didn’t understand that he was the one that had to get the
information and enter it into the software database so the computer
could do the math. Therefore, he thought I was nuts because I didn’t
know of any systems that already had the service level database
already installed.
I simply wished this
gentleman good luck in his search. I am sure he has had nothing but bad things to say about me
ever since. So be it.
The point here is
that if you are looking at a forecast tool, realize that it only works
on historical data and uses your input to forecast future events. And,
it gives you answers in averages. Averages never happen. An average is
nothing more than the earliest and the latest an event has happened.
Therefore, averages never happen in real life. The average just gives
you a clue of when you might expect something to happen. If you have
no historical data and/or you cannot provide information on failure
and use rates, the software won’t work for you.
Some
software packages are accurate to three decimal places and can predict
the level of accuracy of the forecast to very high levels, but if you
can’t give the forecast software necessary input information, even
the most sophisticated software tools won’t work.
R.T. "Chris" Christensen
is the director of the University of Wisconsin School of Business'
operations management program. If you have an inventory management
question, contact Coach Christensen by phone at 608-441-7326 or e-mail
cchristensen@execed.bus.wisc.edu.
MRO
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