"For Toyota, PDCA is more than a way to get results from process improvement. It is a way of developing people." — Liker and Franz, The Toyota Way to Lean Leadership
Developing
people means challenging people. But just issuing challenges isn’t enough. You
must also teach a systematic, common means of creating solutions and meeting
those challenges.
To
get people across an organization to systematically work on improvement every
day requires teaching the skills behind the solution. And for that to happen,
their leaders and mangers also need to practice and learn those skills.
A
simple, pragmatic problem solving methodology is the Plan, Do, Check, Act
(PDCA) approach. It begins with a Planning phase in which the problem is
clearly identified and understood. Potential solutions are then generated and
tested on a small scale in the "Do" phase, and the outcome of this
testing is evaluated during the Check phase. "Do" and
"Check" phases can be iterated as many times as is necessary before
the full, polished solution is implemented in the "Act" phase.
One
of the advantages of developing and following a proper PDCA cycle is the
ability to learn and acquire wisdom.
Wisdom requires that we arrange what we observe and know, and create
meaning from it; it also requires that we consider what we need to unlearn as
well.
The
purpose of PDCA is to generate surprises and thus opportunities for learning
& progress toward the target condition. Unexpected results (surprises) lead
to valuable learning experiences. When a hypothesis is refuted this is in
particular when you can gain new insight that helps you learn, improve, adapt
and innovate. When a result is as-predicted it confirms something you already
thought.
The
PDCA procedure is specified, but the path is not. Things will occur along the
way that shift your thinking and cause you to revise your ideas. That’s normal.
The target condition remains the same, but the path shifts as you learn.
The
steps of PDCA constitute a scientific process of acquiring knowledge. The PDCA
cycle model is built as a continuous loop and this loop ensures frequent
iteration. This is very beneficial because this is the learning cycle that is
necessary in solving problems as well as developing problem solvers and leaders
alike.
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