The objective of this book is to illustrate statistical
methodologies that incorporate physical and numerical experiments
and that allow one to schedule and plan technological innovation,
similar to any other productive activity. This methodology should
be implemented through a structured procedure aimed at reducing the
high rate of commercial failure characterizing actual innovation
processes. The definition of an iterative design activity is an
objective that can be reached by subdividing the complex innovation
process into 'short' steps in experimental statistics research. The
approach adopted to analyze customer needs and the tools used to
reduce unwanted variability form the framework for the statistical
design of 'continuous' product innovation. Starting from the
observation that product innovation is achieved when a 'quality'
that is able to satisfy a new customer need is conferred on the
product and survives over real operating conditions and time, this
book illustrates the operative steps required to perform the whole
innovation process iteratively.
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