When asked why the book was written (and a little about what’s
between the covers,) Kieron Dey said:
“I first got the idea about separating tiny signals from large
amounts of noise from time spent in radar design and wondered why similar was
not much used in industry to solve problems. Where statistical design was
used, it tended to be on a small scale and not much in processes involving
lots of people.
The idea to combine statistical design and control came from
a book on survey sampling. This fusion was controversial for years
among professionals, for no reason. Everything used is in the
literature.
“Intent-to-treat" is also used throughout (which means,
roughly, allowing an element of laissez-faire, to get real world results, not
forced ones that don't hold longer term).
Simultaneous design (where
more than one design runs at once, overlaid) was added in 2012. The simultaneous
designs have been important in cross-channel optimization in retail, and in
complex healthcare improvements. This was the last addition as the theory was
tricky and it finally fell in place in 2011. It found that what had seemed
weaknesses (where interactions across designs might be a problem) in fact hid a
large strength, which is in Chapter 8 with real cases. The method had to
be simplified so that users could apply easily.
Finally, the scientific method is used throughout (which folds
nicely into comparative effectiveness research, DMAIC or PDCA etc.) and the
book explains what (and how simple) this is. The scientific method allows
the same method to be used for existing and new processes: hence the
“improvement and innovation” in the title. Innovation becomes less elusive in
this way – it can be designed rather than waiting for inspiration. Also,
getting back to pure, simple science means using right-brain (creativity) as
well as left (analytic) so more people can contribute, valuably for the enterprise
(which can be business, industry, research or government).
There is no mathematical notation so that anyone can read and use
these well-established methods. Scientists and researchers will find Chapter 8
challenging on scientific method and randomization, so there's something for
everyone. Mathematics is used a lot behind the scenes of the book but the real
world is used more: to understand how businesses work and make them work
better.
There are about 20 exercises peppered through the book, for the
reader to accelerate what would be learned in field experience and get started
on real business competitive problems.
Surprisingly, it turns out to be a management tool, not one
technical people alone can accomplish; it’s not top down though and the book
explains why.
The Book is available for pre order on Amazon at: goo.gl/9QSVMB
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