"Digital continuity allows a product to be tracked throughout its lifespan"
questions for Jean-Pierre Petit, director of Sogeti High Tech and
Capgemini's Digital Manufacturing services.
is the principle of digital continuity in the industrial sector?
principle of digital continuity means working on the same virtual
model from the research lab phase all the way up to the after sales
service phase. This enables stakeholders to monitor a product across
its life span, as well as reducing the "time to market".
there are gaps in this chain. Not all existing products and machines
have been designed using a digital model. There is a need, therefore,
to use 3D laser scanning in order to rebuild this digital model. 3D
printing also seeks to develop components that are "printable"
during the early phases of production, excluding screws and other
types of nuts and bolts.
technology also reduces the cost of the transition from the virtual
to the real world. Progress in the field of high performance
processing today enables us to simulate a product, a production flow
or a manufacturing procedure.
are the other benefits of the future factory?
placing pressure, heat or vibration sensors on a machine, an
industrial worker knows, in real time, how the machine is performing
as well as its state of "health", and they can therefore
anticipate breakdowns or malfunctions as part of their product
objects also enable a manufacturer to know how his project is used
and which types of operational settings have been adopted. This is
precious feedback for handling future changes or the next generation
of products, and more effective and efficient than a large pile of
customer satisfaction surveys.
future factory will also give value to the role of humans. Enhanced
reality will allow humans to obtain the right information -- while
on the move -- about
the machines that they supervise or repair. Robots will not replace
humans. We see with cobotics that man and machine can coexist
peacefully, with man focusing on data analysis.
what extent have these new technologies been adopted?
all industries encounter the same problems and not all of them are at
the same level of maturity. In "asset intensive" industries
such as the nuclear power industry, for example, each of the
different stakeholders who develops, builds, operates, maintains and
decommissions power plants has their own CAD and OLM tools. How do we
know if all of their digital assets are up to date? This brings us
back to the "digital twin" concept, which consists in
making a copy every time a new machine is installed.