Quality Progress - May 2013 - 50
suring the blockbuster drug supply would
As noted previously, we feel that the
approach should be based on the problem,
satisfy market demand.
These applications of the matrix and
not the other way around, and no one
other experiences show that:
method is universally best. We have found
• Many, perhaps most, problems will fall
this matrix works well in guiding practitio-
into one or more, but not all, of these
ners in diagnosing the best approach to a
quadrants. This is natural and to be
given problem, and we recommend it for
• After we know the quadrant or quad-
Of course, it is not a prescriptive
rants the problem occupies, the possi-
system. It should serve as a guide and not
bilities for identifying the right improve-
dictate the approach to be taken. Further,
ment method are greatly enhanced.
it is not exhaustive; many more methods
• The problem-solving speed and accu-
could be added to the matrix. Use of such
tools to guide improvement efforts is an
racy is increased.
• Probability of success is increased.
Many practitioners have told us over
the years that they understand different
methods, such as lean Six Sigma, kaizen
events, reengineering and WorkOut, but
they are confused as to which improvement approach is the best. They also wonder if one method is best for all problems.
example of statistical engineering, a topic
we have discussed in detail in earlier Statistics Roundtable columns.7-9 QP
1. Ronald d. Snee and Roger W. Hoerl, Six Sigma Beyond the
Factory Floor, FT Prentice-Hall, 2005.
2. Ronald d. Snee and Roger W. Hoerl, “Integrating lean and
Six Sigma: a Holistic approach,” Six Sigma Forum Magazine, May 2007, pp. 15-21.
3. Ronald d. Snee, “digging the Holistic approach—Rethink
Business Improvement to Improve the Bottom line,” Quality Progress, october 2009, pp. 52-54.
4. Roger W. Hoerl and Ronald d. Snee, Statistical Thinking;
Improving Business Performance, second edition, John
Wiley and Sons, 2012.
5. Snee, Six Sigma Beyond the Factory Floor, see reference 1
6. Thomas l. Mcgurk, “Ramping Up and ensuring Supply
Capability for Biopharmaceuticals,” BioPharm International,
January 2004, pp. 1-4.
7. Roger W. Hoerl and Ronald d. Snee, “Closing the gap,” Quality Progress, May 2010, pp. 52-53.
8. Ronald d. Snee and Roger W. Hoerl, “Further explanation,”
Quality Progress, december 2010, pp. 68-72.
9. Ronald d. Snee and Roger W. Hoerl, “Proper Blending,”
Quality Progress, June 2011, pp. 46-49.
© 2013 Roger W. Hoerl and Ronald d. Snee
ROGER W. HOERL is Brate-Peschel assistant professor of statistics at Union
College in Schenectady, NY. He has
a doctorate in applied statistics from
the University of Delaware in Newark.
Hoerl is an ASQ fellow, a recipient of
the ASQ’s Shewhart Medal and Brumbaugh Award, and an academician in
the International Academy for Quality.
RONALD D. SNEE is president of
Snee Associates LLC in Newark, DE.
He has a doctorate in applied and
mathematical statistics from Rutgers
University in New Brunswick, NJ.
Snee has received ASQ’s Shewhart
and Grant Medals. He is an ASQ
fellow and an academician in the
International Academy for Quality.
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Table of Contents for the Digital Edition of Quality Progress - May 2013
Mr. Pareto Head
Avoiding an Avalanche
What Makes You Tick?
Quality in the First Person
Special Section: ASQ Enterprise and Site Members
3.4 per Million
One Good Idea
One Good Idea
Quality Progress - May 2013