Visual scheduling is a plain, two-dimensional format that maps out which products, parts, or subassemblies need to be produced, and when, in what quantity, and in what order. Nothing could be simpler.

I’ve mentioned that design of experiments (DOE) is one of the few things worth salvaging from typical statistical training, and I thought I’d talk a bit more about DOE in the next couple of columns.

Quiz time: What significance does the yin and the yang have in discussing standardized training? I suggest that you pause and guess (and then read on for the answer).

“It is a common experience that a problem difficult at night is resolved in the morning after the committee of sleep has worked on it.”
—John Steinbeck

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