The second
component of leadership is Appreciation
for a System. We all work in a system and we need to make decisions with
the benefit of the entire system in mind.
A manager’s
role is to understand how the organization works as a system and to know when and
how to optimize the system. Micro-management, improving one part of the
organization at the expense of another, demanding results from people that the
system is not capable of producing, and automating faulty processes are
examples of mistakes managers make when they do not understand the system of
work.
The
organization must have a well-defined process to:
·
Recognize a system
·
Define it so others can recognize it
·
Analyze its behavior
·
Work with subordinates in improving the system
·
Measure the quality of the system
·
Develop improvements in the quality of the system
·
Measure the gains in quality, if any, and link these to customer
delight
·
Take steps to guarantee holding the gains.
Product defects
are rarely the fault of the worker; the process, established and controlled by
management, is more likely to be at blame. Workers work in the system,
management works on the system.
People are
trying their best in the system they are given. They have an intrinsic desire
to improve themselves. Deming really believed that people were doing their best
and always concluded his four-day seminars by saying, “And now I leave you
with five words, I have done my best.”
Only about 20%
of all problems are caused by workers. They are responsible for only a trivial
small part of the problems, management is responsible for 80% of the problems
because they have the responsibility for changing and improving the processes. Deming
in his later years stated that management was responsible for more like 94% of
the problems.
Management is
the major cause of:
·
Waste
·
Rework
·
Untold losses
Management must
understand their system and how it works before they can make any
recommendations for improvement.
The third
component of Leadership is Knowledge of
Variation. Nothing is exactly the same, for example if you bought a sack of
nails, if examined under a microscope you would discover that there are minor
differences between each nail.
Managers must
have knowledge of variation, which exists in everything—systems, services,
people, and nature. Understanding what a system can do, and what it cannot do,
depends on having statistical data and knowing how the data was obtained. The
past is helpful to us only if it helps in the future, if it predicts. Management is prediction.
Deming gave
lectures to top Japanese business leaders in the 1950s regarding the importance
of management’s understanding of statistical methods, which helped them attain
a significant role in world trade. There are no absolute truths, only data from
measurement of observation. Deming used to use the example of our perception of
the value of the speed of light to support this statement. What was considered
to be the absolute speed was changed several times over the years as we developed
new ways to measure it. He jokingly credited Galileo with saying that if the
speed of light is not infinite, then it is awfully darned fast.
Like Shewhart,
Deming identified two ways to improve work processes; resolving “special”
causes of variation and reducing “common” causes variation. Managers must know
the difference. Special causes of variation appear on a control chart as a
point lying outside the calculated control limits or as other non-random
patterns. A manager should ask,
“Is the process performing in a dependable, predictable way over time, with no
evidence of assignable causes of variation?” If the answer is no, the process
is not stable, that is, there are sources of variation that are not part of the
process. These are called special causes of variation, which must be identified
and resolved before the process can become stable. The elimination of special
causes is often the responsibility of someone working directly with the
operation. Common causes, or problems with the overall system, are the
responsibility of management. Common causes of variation are those inherent in
a system.
Management’s
efforts to reduce variation must be unceasing and must be consistently
communicated to the workers.
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