Algorithms,
Journal Year:
2024,
Volume and Issue:
17(11), P. 494 - 494
Published: Nov. 2, 2024
The
paper
presents
a
novel
framework
for
implementing
decentralized
algorithms
based
on
non-fungible
tokens
(NFTs)
digital
twin
management
in
aviation,
with
focus
component
lifecycle
tracking.
proposed
approach
uses
NFTs
to
create
unique,
immutable
representations
of
physical
aviation
components
capturing
real-time
records
component’s
entire
lifecycle,
from
manufacture
retirement.
This
outlines
detailed
workflows
key
processes,
including
part
tracking,
maintenance
records,
certification
and
compliance,
supply
chain
management,
flight
logs,
ownership
leasing,
technical
documentation,
quality
assurance.
introduces
class
designed
manage
the
complex
relationships
between
components,
their
twins,
associated
NFTs.
A
unified
model
is
presented
demonstrate
how
are
created
updated
across
various
stages
ensuring
data
integrity,
regulatory
operational
efficiency.
also
discusses
architecture
system,
exploring
sources,
blockchain,
NFTs,
other
critical
components.
It
further
examines
main
challenges
NFT-based
future
research
directions.
Journal of Manufacturing and Materials Processing,
Journal Year:
2025,
Volume and Issue:
9(1), P. 18 - 18
Published: Jan. 10, 2025
This
overview
study
investigates
integrating
advanced
manufacturing
technologies,
specifically
metal
additive
(AM)
and
laser
powder
bed
fusion
(LPBF)
processes,
within
Industry
4.0
5.0
frameworks,
to
enhance
sustainability
efficiency
in
industrial
production
prototyping.
The
sector,
a
significant
contributor
global
greenhouse
gas
emissions
resource
consumption,
is
increasingly
adopting
technologies
that
reduce
environmental
impact
while
maintaining
economic
growth.
Selective
melting
(SLM),
as
the
subsection
LPBF
highlighted
for
its
capability
produce
high-performance,
lightweight,
complex
components
with
minimal
material
waste,
thus
aligning
circular
economy
goals
alloys.
Life
cycle
assessment
(LCA)
life
costing
(LCC)
analyses
are
essential
methods
evaluating
of
any
new
technology.
Sustainable
could
support
concepts
factory
future
(FoF),
fulfilling
requirements
digital
transformation
twins.
reveals
implementing
AM—specifically
SLM—has
potential
manufacturing.
It
underscores
ability
these
promote
sustainable
efficient
practices,
thereby
accelerating
shift
from
5.0.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(2), P. 611 - 611
Published: Jan. 10, 2025
To
cope
with
the
complexity,
digital
transformation
of
cyber-physical
and
socio-technology
systems
demands
utilization
heterogeneous
tailorable
development
environments
dynamic
configuring
ability
transparent
integration
independently
developed
dedicated
frameworks.
The
essential
design
principles
component-based
architecting
initial
prototype
hyper-framework
represent
this
research
target.
These
are
derived
from
broad
scope
analysis
projects,
methods,
tools
glued
to
proposed
virtual
twin
hyper-document.
critical
domain
influenced
formulation
five
hypotheses
that
frame
transformation,
as
second
goal
article.
Armed
a
meta-modeling
layer,
incremental
hybrid
architecture
instances
focuses
on
meta-models
their
transformations
into
functional,
interpretable
environments.
applicability
aspects
formulated
hypothesis
verified
throughout
architecture,
meta-configuration,
handling
information
resources
segments
version
evolution
prototype.
detailed
illustration
horizontal
vertical
interoperability
framework
is
illustrated
by
Life
Cycle
Modeling
component
creatively
integrates
System,
Software,
Operation
Engineering
hyper-framework.
capabilities
discussed
in
context
contemporary
ecosystem.
Specification
additional
frameworks,
compliance
specified
generative
mechanisms,
directing
further
refinements
Machines,
Journal Year:
2024,
Volume and Issue:
12(11), P. 785 - 785
Published: Nov. 7, 2024
The
research
presented
in
this
paper
aligns
with
the
advancement
of
Industry
4.0
by
integrating
intelligent
machine
tools
and
industrial
robots
within
Flexible
Manufacturing
Systems
(FMS).
Primarily,
a
development
approach
for
Digital
Twin
(DT)
is
presented,
beginning
from
design,
sizing,
configuration
stages
system
extending
through
its
implementation,
commissioning,
operation,
simulation-based
optimization.
digitization
current
processes
entails
applications
based
on
modern
technologies,
utilizing
state-of-the-art
software.
general
objective
was
to
create
digital
replica
process
propose
optimization
solutions
simulation
subsequently
achieve
virtual
commissioning.
practical
nature
reflected
design
implementation
real
physical
processing
family
cylindrical
parts
an
existing
experimental
FMS.
A
model
created
defining
each
individual
device
piece
equipment
system,
so
operates
just
like
one.
By
implementing
Twin,
both
time-based
event-based
simulations
were
performed.
Through
execution
multiple
scenarios,
it
possible
identify
errors
collisions,
complex,
collaborative-robot
where
interactions
occur
simultaneously.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(20), P. 8745 - 8745
Published: Oct. 10, 2024
Digital
transformation
(DT)
is
crucial
for
SMEs
to
streamline
operational
efficiency,
foster
innovation,
and
meet
upcoming
challenges.
Integrating
sustainability
into
this
process
not
only
enhances
a
company’s
reputation
but
also
attracts
customers
investors
who
value
environmental
responsibility.
Despite
opportunity,
many
operate
without
clear
plans
strategies.
The
literature
review
identified
lack
of
roadmaps
that
integrate
the
digital
SMEs.
Thus,
paper
aims
propose
sustainable
roadmap
evaluates
their
maturity
facilitates
gradual
implementation
in
alignment
with
strategic
objectives.
A
systematic
using
Methodi
Ordinatio
defined
six
key
dimensions
transformation.
Consequently,
SDT-SMEs
Roadmap
was
developed,
drawing
on
ISO/IEC
33000
standards
offer
well-defined
processes
enhancing
competencies.
features
three
organizational
planning
levels—strategic,
tactical,
operational—and
includes
model
75
across
dimensions:
Technologies,
Customer
Focus,
Organizational
Culture,
Governance,
People,
Sustainability.
Validation
through
case
study
confirmed
roadmap’s
effectiveness
addressing
real-world
challenges
guiding
digitization
process.
provides
comprehensive
integrated
approach,
ensuring
continuous
adaptation
improvement
efforts.
This
addresses
significant
gap
presents
practical,
strategic,
adaptable
pathway
embarking
journeys.
The
rapid
development
of
digital
technology
has
permeated
all
business
sectors,
and
businesses
across
industries
are
actively
participating
in
models
seeking
new
ways
to
create,
deliver,
capture
value,
capabilities
playing
a
vital
role
this
innovation.
model
innovation
manufacturing
enterprises
is
related
the
growth
themselves,
it
very
important
for
maintain
competitive
advantages
occupy
market
share.
Therefore,
paper
focuses
on
industry,
explores
antecedent
variables
innovation,
provides
method
industry
achieve
A
total
307
questionnaires
were
collected
from
employees
industry.
It
found
that
can
promote
improvement
collaboration
diffusion
enterprises,
thereby
promoting
models,
attention
managers
plays
moderating
positive
relationship
between
capabilities.
Future Internet,
Journal Year:
2025,
Volume and Issue:
17(2), P. 82 - 82
Published: Feb. 11, 2025
In
a
technology-driven
world,
the
concepts
of
digitalization
and
Industry
4.0
(I4.0)
are
an
ever
more
present
reality
for
companies.
The
benefits
which
these
advancements
offer,
coupled
with
market-driven
pressure
to
reduce
response
times,
have
placed
businesses
in
technological
“wave”,
where
it
is
imperative
adapt
avoid
falling
behind.
While
numerous
studies
focus
on
developments—such
as
definitions,
capabilities,
potential
benefits—few
provide
systematic
approach
best
practices
recommendations
accelerating
digital
transformation
while
mitigating
adverse
impacts.
this
study,
case
from
10
companies
analyzed
identify
systematize
implemented
their
transitions.
findings
culminate
best-practice
framework
transition
(DT),
highlighting
critical
aspects
such
understanding
company’s
current
state,
acquiring
external
knowledge,
addressing
importance
cybersecurity
skilled
staff.
Concerning
originality,
work
presents
artifact
based
manufacturing
industry
studies,
emphasizing
practical
vision
concerning
DT.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(11), P. 4380 - 4380
Published: May 22, 2024
This
paper
puts
forth
a
systematic
approach
for
evaluating
the
maturity
level
of
production
process
automation
in
context
digital
transformation
manufacturing
companies.
The
method
was
developed
to
address
absence
sector-specific
framework
assessing
growth,
line
with
Industry
5.0
guidelines
(incorporating
sustainability,
circular
economy,
and
human-centeredness).
survey
covers
six
core
areas
companies:
automation,
robotization
processes,
digitalization
warehouse
flexibility,
intralogistics,
end-to-end
integration
key
data
management
processes.
study
aimed
advance
through
improved
maturity.
surveyed
200
small-
medium-sized
businesses
operating
Poland
from
2022
2024.
presents
enterprise
operational
maturity,
covering
current
planned
levels
development
plans
next
three
years.
Journal of Infrastructure Policy and Development,
Journal Year:
2024,
Volume and Issue:
8(8), P. 5913 - 5913
Published: Aug. 5, 2024
This
study
investigates
how
digital
supply
chain
transformation
affects
enterprise
performance
in
Guangxi’s
manufacturing
sector,
with
a
focus
on
Electric
Vehicle
(EV)
enterprises.
Utilizing
the
quantitative
research
approach,
data
was
collected
through
questionnaire
survey
from
197
respondents
including
manufacturers,
distributors,
and
suppliers
of
Guangxi
Manufacturing
Industry.
To
test
reliability,
correlation,
regression,
discriminant
validity
assessments
structural
equation
modeling
is
used
by
applying
SmartPLS
3.0.
The
results
revealed
that
there
strong
correlation
between
agile
capability,
transformation,
innovation
performance.
All
structured
hypotheses
tested
significantly
positive,
though,
positively
influences
industry,
emphasizing
importance
capability.
highlights
improving
business
sector.
It
serves
as
guide
for
policy
decision-makers
investors
while
they
are
planning
their
future
investments,
especially
issues
about
optimization
operations.
