
| July 2003 | Vol. 5, No. 7 |
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Quality Quiz
from Professor Cleary
Congratulations!
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Dr.
Noah Tahl is totally confused about these two useful quality tools. A
cause-and-effect diagram is a picture of various system elements that
may contribute to a problem or outcome. Thus, it is used to get to
root causes. Pareto diagrams, however, sort data by frequency of
occurrence, but do not pretend to identify causal relationships. The
cause-and-effect diagram was developed in 1943 by Professor Kaoru
Ishikawa, President of the Musashi Institute of Technology in Tokyo.
It is sometimes called an Ishikawa diagram or a fishbone diagram
because of its resemblance to the skeleton of a fish. Used
to identify possibly variables influencing a problem, outcome, or
effect, he graphic nature of the diagram allows groups to organize
large amounts of information about a problem and pinpoint possible
causes. It also encourages investigation of causes at many levels,
improving odds that root or basic causes will be identified. In
health care settings, the cause-and-effect diagram can be used, for
example, to identify the variables influencing carpal tunnel syndrome
outcomes or high-risk pregnancy outcomes. The cause-and-effect diagram
is also useful in identifying variables influencing the outcome or
effect of support processes such as medication delivery, billing,
purchasing, or scheduling, and can identify variables involved in general problems such as
absenteeism, turnover, or wait time. The
cause-and-effect diagram is used to find special or common causes of
variation and to analyze causes. It can be used to solve unexpected or
everyday problems of the system. Although the diagram looks simple to
make, it is not easy to do well. Kume, a Japanese quality
professional, has said, “It may safely be said that those who
succeed in problem solving in quality control are those who succeed in
making a useful cause-and-effect diagram.” To
learn more about cause-and-effect diagrams or Pareto charts, refer to Practical Tools
for Continuous Improvement, a two-volume collection of
statistical, problem-solving, and planning tools.
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