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DESIGN OF EXPERIMENTS:
As both product quality
and product competition rise throughout the world, a growing number
of companies that have relied on conventional research and testing
methods, and have accepted a certain percentage of product failures
as normal and unavoidable, are realizing their trial-and-error methods
are costing them more in dollars, and perhaps in customers, than they
can logically afford. In response, many firms are replacing or enhancing
traditional experimental approaches with Design of Experiments, the
advanced statistical tool that can generate research breakthroughs
and far higher manufacturing yields.
After years of consulting, we've learned the reasons companies
avoid upgrading their statistical methods typically fall into a
few categories which can loosely be defined as "It's tradition,"
"We haven't got the time," or "Three batches and we're done (we
hope!)." Companies with long histories and a fair amount of success
often use tradition as a defense against change, partly because
of fear the waste accepted as part of the old ways will become glaringly
evident. Other firms complain their research and manufacturing departments
are already sorely overworked, and the energy required to train
problem solvers in new methodologies is lacking."I really understand
where these companies are coming from," says Tunnell Principal Larry
Meyers, who has taught Design of Experiments to companies for some
25 years. "It is true that DOE can represent a major shift for research
and manufacturing departments and that learning DOE requires an
initial investment of energy. But the payback is so ultimately satisfying
that people are often shocked they've ignored DOE for so long. The
fact is, for a relatively small investment in time and resources,
DOE can save an extraordinary amount of money."
As an example, Larry sites a popular success story involving Motorola,
detailed in World Class Quality by Keki Bhote; Motorola reported
a 500-fold increase in quality and a $1 billion savings during a
three-year period following the adoption of advanced statistical
tools. In this newsletter, we recently reported on the success of
Trans-Tech, a major technical ceramics firm that "exploded" capacity
in one operation by more than 100% -- and satisfied its client,
the U.S. Navy -- by using experimental design to unravel a process
problem.
What other types of companies are using this tool, and what kinds
of problems are they trying to solve? We posed that question to
students in one of our recent 3-day Design of Experiments courses:
HOW
ARE YOU USING DOE?
Tunnell Consulting's Design of Experiments course is taught by
Larry Meyers. Please call him at (610) 337-0820 for more information
on courses or DOE consulting services.
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