THE AUTOMOTIVE VALUE
CHAIN: UPSTREAM
The upstream metaverse-related value chain can be broken down into three applications: design, production, and
performance. Most of these applications are enabled by mixed reality and blockchain technology. To explore the
applications in more detail, it is essential to rst understand blockchain technology and mixed reality.
For the automotive industry, the
integration of blockchain technology
and MR with the metaverse will give
rise to many applications. Increased
collaboration opportunities, both
within organizations and with
external communities, will lead to
an outpouring of ideas during the
design phase. The metaverse gives
us the realm to virtually create and
experience ctitious environments
and scenarios, expanding creative
boundaries. Furthermore, being
able to build and test designs under
dierent behavioral, structural,
and climatic conditions in a virtual
setting leads to signicant cost and
safety related benets (e.g., less
real-world hazards). The expected
economies of scale are signicant.
Additionally, virtual testing has the
potential to reduce costs and save
time during the production phase.
For example, a factory’s digital twin
can be assessed and optimized
virtually. Only nal changes will then
be implemented in the real worl d
with minimal downtime.
Beyond production, the metaverse
can provide value to the supply
chain through shared compliance
information and the existence of one
trusted network of suppliers. This
will make it possible for materials
and transformed parts to be tracked
electronically by all stakeholders in
a transparent manner. Moreover,
it will lead to the successful local
identication of any processing
errors. Consequently, companies
will see an increase in eciency,
transparency, and traceability.
This implementation of blockchain
technology is only possible when
integrating automation that
can identify various materials.
Blockchain technologies enable
supply chains to be more secure
because the origin and authenticity
of products are known, proven, and
shared.
The digital twin concept facilitates
the optimization of the production
chain. Creating a virtual replica of
the factory will make it possible
to simulate the manufacturing of
multiple vehicles across multiple
assembly lines, testing which is the
most ecient. This optimization
of internal factory paths will
allow for more ecient and cost-
eective A/B testing. For example,
in collaboration with NVIDIA, BMW
oers us a use case for the digital
twin. BMW is able to oer digital
management of its factory by
making use of augmented reality,
mixed reality, robotics, and AI. This
experience reects the potential of
a bridge between reality and digital.
Thanks to this technology, learning
will also be more uid, immersive,
and compelling. Being able to
dissect an engine piece-by-piece in
the metaverse will lead to better
operational understanding and more
realistic performance tests, since we
will be able to analyze how elements
interact. But that’s not all.
A/B testing in the metaverse
and mixed reality will increase
manufacturing performance,
creativity, and savings. These
improvements will be extended by
the collection of data, which will
lead to better vehicle performance,
safety, and comfort. The application
of the metaverse in the upstream
segment of the value chain
is a snapshot of just how much
the technology can transform
industries.
In the future, the industrial
metaverse could eventually be
leveraged to support some remote
operations as well, providing
the feelings for workers to be
on the real site from everywhere.
Thanks to advanced 3D real-time
visualization, combined with IoT, AI,
natural interfaces, and robotics, we
might be able to deliver recurring
eld operations from oce
or home, even collaborating with
other on-site or remote peers with
co-presence feelings. Imagine
how powerful it could be in critical
environments; improving workers’
safety, reducing physical on-site
presence, hence enabling more
ecient manufacturing processes.
5Gearing up for the Metaverse
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