International Journal of Religion,
Год журнала:
2024,
Номер
5(6), С. 1083 - 1096
Опубликована: Май 4, 2024
The
automotive
industry,
a
cornerstone
of
global
manufacturing,
is
undergoing
profound
transformation
driven
by
digitalization.
This
research
paper
explores
the
impact
digitalization
on
supply
chain
and
its
role
in
enhancing
climate
competitiveness.
As
industry
strives
to
meet
stringent
environmental
standards
consumer
demands
for
sustainability,
leveraging
digital
technologies
becomes
imperative.
We
use
R
Studio
software
perform
bibliometric
analysis
this
study.
Our
initial
repository
data
came
from
Scopus
database.
Following
keyword
search
before
applying
limited
criteria,
we
were
able
find
3202
papers.
then
started
integrating
which
included
following:
stream:
Business
Management
&
Accounting,
source
type:
Journal,
no
author,
duplicate
titles,
language:
English.
After
these
935
selected
citations,
bibliographical
data,
abstracts
keywords,
funding
information,
other
exporting
our
database
Scopus.
Platforms,
Год журнала:
2025,
Номер
3(2), С. 6 - 6
Опубликована: Апрель 9, 2025
Efficient
supply
chain
management
(SCM)
is
essential
for
enterprises
seeking
to
enhance
operational
efficiency,
reduce
costs,
and
mitigate
risks
while
ensuring
product
quality
customer
satisfaction.
Addressing
concerns
within
the
proactively
helps
minimize
rework,
recalls,
returns,
leading
significant
cost
savings
improved
profitability.
This
study
presents
a
machine
learning
(ML)-driven
predictive
analytics
framework
designed
forecast
defect
rates
optimize
control
processes.
The
research
leverages
dataset
sourced
from
real-world
fashion
beauty
startup,
hosted
in
public
repository.
employs
advanced
ML
algorithms,
including
extreme
gradient
boosting
(XGBoost),
support
vector
machines
(SVMs),
random
forests
(RFs),
accurately
predict
derive
actionable
insights
optimization.
Results
demonstrate
effectiveness
of
improving
management,
enabling
rates,
return
on
investment
(ROI).
proposed
be
scalable
transferable,
adaptability
across
various
industries,
fashion,
e-commerce,
manufacturing.
These
findings
underscore
economic
benefits
integrating
into
control,
offering
data-driven,
proactive
approach
achieving
high-efficiency,
high-quality
operations.
