Improving Productivity: Proceed with Caution
It’s
almost a “gimme” today that we’re facing another round of
cost containment. This means more layoffs, fewer resources and more emphasis on
“working smarter, not harder” and similar platitudes that mean very
little in the real world.
Without
doubt, you’ll be getting more directives from on high that insist
“we must reduce inventory costs” or “we must improve response
times” and so forth. And, of course, the “we” really means
“you.”
While
there may still be opportunities for improvements in some operations,
it’s also a safe bet that, after years of continuing pressures to become
“lean and mean,” most operations that could be improved have been
improved. Those that still have a lot of waste and inefficiency are probably as
much the result of upper-management resistance to change or lack of resources
to invest in enabling technology as anything else, and are likely to remain
inefficient.
But for
those of you who have committed to change, you may now be facing your greatest
challenge: the dreaded assumption.
The
“dreaded assumption” takes two forms (three if you have to include
the assumption that upper management has a clue what’s going on in your
area). The first type of assumption is that Problem X (such as inventory costs
or response times) is fixable by you. The second type of assumption is that
Problem X is the real problem.
Let’s
look at a couple examples of the first type of assumption. Inventory costs, for
example, might be caused by inflated (or inaccurate) sales projections. Or it
could be that there’s an unusually high rate of returns for certain
items, and those returns aren’t calculated against projected inventory
levels. In the case of response times, if the company wants 90 percent of
orders filled within 24 hours and it takes you up to 24 hours to get the order,
there’s not much you can do even with the most efficient system.
In
these situations, all you can do is try to calmly point out opportunities for
improvements in other areas to make your area more efficient. And, in fact,
better communications between departments can lead to great improvements in
efficiencies such as faster response times and more accurate sales forecasting.
However,
it’s the second type of assumption that is most dangerous. It’s
where assumptions are mistaken for facts — and these usually occur on the
micromanagement level.
Let’s say the assumption is that “order
fulfillment takes too long because our packing area is inefficient.” Is
this really the problem? If, say, you have six packing stations, each equipped
with a hand-held scanner to verify the shipment, perhaps fixed-location or
wearable scanners might improve operations by as much as 10 percent (depending
on the number and type of items being packed). But could the process be
improved more dramatically by scanning and verifying the shipment as it’s
picked directly into the shipping container? In some applications, this could
eliminate as much as 50 percent of the activity in packing and could
significantly streamline order fulfillment. It might even allow you to assign
some of your packers to picking.
If you
accept the assumption that the problem is in the packing area as if it’s
a fact, you miss the opportunity for making broader improvements.
Let’s
look at returns, which, in many companies, is a significant factor. The
assumption might be that we need to streamline returns by allowing customers to
use the Web to generate returns labels complete with bar codes. It’s true
that scanning these bar codes can facilitate returning material to stock and
adjusting inventory or shunting returns to an appropriate processing area in
the case of defects or damage. But if those data aren’t (or can’t
be) shared with Accounting and Sales and Marketing, they’re not being
used properly (or completely). Whether the data are shared upon receipt of the
returned item or taken directly from the Web depends on how the company
operates. If we assume that the returns processing area is the only place we
need to make improvements, we’re missing an opportunity — and
possibly overlooking the root cause of the problem.
The
danger in accepting assumptions as facts is that it instantly narrows our
vision. And that, as even upper management knows, can be costly.
Bert Moore, contributing editor, bmoore@idat.com