This
study
provides
a
specific
guideline
aiming
to
allocate
resources
by
determining
the
positive
and
negative
interrelationships
as
well
sensitive
criteria
aspects
for
semiconductor
supply
chain.
However,
revealing
compound
interrelationship
enables
chain
effectively
efficiently
accelerate
sustainable
transition.
Previous
studies
introduced
transition
without
considering
guiding
The
proposed
hybrid
digital
twin
sensitivity
analysis
used
in
integrates
clustering,
machine
learning,
cloud
model,
Monte
Carlo
simulation
method.
contributions
of
are
follows:
(1)
discovered
strengthen
theoretical
basis
transition;
(2)
method
reveals
utilizing
insufficient
data;
(3)
these
presented
visual
diagram
provide
allocating
toward
In
practice,
total
chromium
power
consumption
influencing
finance;
technology
innovation
is
influenced
revenue
production
area.