Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 22, 2024
With
the
expansion
of
manufacturing
sector,
it
has
become
crucial
to
incorporate
sustainable
production
methods
in
order
remain
competitive
market.
This
study
focuses
on
addressing
needs
industry
by
conducting
a
sustainability
analysis
electric
discharge
machining
for
SS310
alloy.
The
explores
impact
various
electrode
materials,
instance,
copper
and
brass,
as
well
different
variables,
including
current
(I
=
4–12
A),
spark
gap
(SG
6–12
mu),
pulse
duration
(Pon
15–45
μs),
duty
cycle
(DC
75–85%)
using
Taguchi
method.
objective
is
optimize
performance
measures,
which
includes
material
removal
rate
(MRR),
surface
roughness
(Ra),
wear
(EW),
energy
consumption
(EC).
In
addition,
economic
process
takes
into
account
factors
such
cost,
dielectric
EW
labor
machine
depreciation
cost
both
types
electrodes.
Furthermore,
investigates
carbon
emissions
resulting
from
EC,
consumption,
assess
environmental
process.
Multi-criteria
decision-making
approach
employed
taking
several
performance,
simultaneously.
From
empirical
analysis,
been
observed
that
outperformed
brass
terms
MRR
(2.67
mm3/min),
Ra
(3.36
µm),
(0.272
g),
EC
(145.08
kJ)
due
its
superior
electrical
thermal
characteristics.
offered
lower
costs
(2.02
PKR)
attributed
higher
conductivity
while
(5.5
(5.2
than
brass.
However,
revealed
application
results
(80.1
99.3
PKR,
respectively)
primarily
shorter
time.
showed
utilization
leads
reduced
9.8
g
CO2
during
(5.07
CO2)
(54.58
compared
electrode.
Based
multi-criteria
composite
desirability
function
approach,
evident
exhibits
MRR,
Ra,
total
cost.
Conversely,
demonstrates
better
overall
emissions.
Global Business Review,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 10, 2024
The
importance
of
metaverse
and
blockchain
technologies
in
today’s
global
landscape
cannot
be
overstated.
These
innovative
offer
transformative
potential
for
various
sectors,
including
economics,
by
enhancing
connectivity,
security
transparency.
present
study
leverages
these
to
investigate
their
dynamic
impacts,
conjunction
with
geopolitical
risk,
on
economic
cycles
navigate
the
challenges
an
interconnected
world.
To
ensure
reliability
our
findings,
this
employs
two
proxies
gauge
cycles:
green
growth
environmental
sustainability.
By
utilizing
daily
data,
reveals
several
noteworthy
findings.
First,
quantile-var-based
network
analysis
demonstrates
a
robust
directional
connection
among
variables
model.
Second,
wavelet
quantile
correlation
technique
uncovers
significant
role
technology
influencing
promoting
sustainability
across
all
time
horizons
(short,
medium
long
term).
Third,
exhibit
negative
association
financial
innovation
positive
risk
timeframes.
Fourth,
continuous
transform
causality
test
identifies
substantial
causal
relationship
running
from
technology,
cycles.
Based
empirical
results,
recommends
that
economy
should
continue
investing
address
future.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
1(1), P. 1 - 14
Published: March 1, 2024
This
paper
is
devoted
to
determining
the
trends
of
AI
economy
in
Russia.
The
method
trend
analysis
was
used
find
dynamics
change
values
indicators
development
As
a
result,
we
revealed
specific
features
its
Russian
model.
first
feature
that
Russia,
key
participant
government,
and
role
business,
despite
being
secondary
player,
constantly
grows.
second
Russia
successfully
strengthens
technological
sovereignty
sphere
economy.
main
conclusion
model,
advantages
are
connected
with
growth
share
knowledge-intensive
employment
an
increase
quality
life,
risks
consist
possible
slowdown
rate
labour
productivity
reduction
products.
managerial
significance
compiled
econometric
model
generalised
leading
experience
top
30
economies
world
2023
disclosed
cause-and-effect
relationships
development.
practical
authors’
forecast
outlined
perspective
Decade
Science
Technologies
until
2031.
Business Process Management Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 9, 2024
Purpose
Natural
calamities
like
earthquakes,
floods
and
epidemics/pandemics
COVID-19
significantly
disrupt
almost
all
the
supply
networks,
ranging
from
medicines
to
numerous
daily/emergency
use
items.
Supply
Chain
Resilience
is
one
such
option
overcome
impact
of
disruption,
which
achieved
by
developing
chain
factors
with
Artificial
Intelligence
(AI)
Big
Data
Analytics
(BDA).
Design/methodology/approach
This
research
examines
how
organizations
using
AI
BDA
can
bring
resilience
chains.
To
achieve
objective,
authors
developed
methodology
gather
useful
information
literature
studied
Total
Interpretive
Structural
Modeling
(TISM)
consulting
44
professionals.
The
a
quantitative
questionnaire
collect
229
responses
further
test
model.
With
analysis,
conceptual
comprehensive
framework
developed.
Findings
A
major
finding,
this
advocates
that
contingent
upon
utilizing
analytics.
An
empirical
study
provides
evidence
utilization
analytics
has
positive
favorable
effect
on
flexibility
demand
forecasting
inventory
management,
resulting
in
increased
efficiency.
Originality/value
Few
studies
demonstrate
advanced
technology
building
resilient
chains
enhancing
their
factors.
best
authors'
knowledge,
no
earlier
researcher
attempted
infuse
into
make
them
resilient.
European Journal of Sustainable Development Research,
Journal Year:
2024,
Volume and Issue:
8(4), P. em0273 - em0273
Published: Oct. 13, 2024
The
current
study
investigates
how
artificial
intelligence
(AI)
impacts
sustainable
development
in
emerging
markets,
with
a
focus
on
Thailand.
Following
systematic
review
approach,
research
designs
are
configured
for
reviewing
empirical
evidence
within
peer-reviewed
papers
and
reports.
It
also
presents
an
overview
of
the
adoption
AI
agriculture,
health,
urban
planning.
key
findings
lend
credence
to
potential
use
achieving
resource
optimality,
reducing
environmental
damage,
urging
social
equity
its
use.
But
these
very
initiatives
hampered
by
digital
divide,
concerns
about
data
privacy,
bias
algorithms.
way
forward
should
be
establish
solid,
regulatory
frameworks
geared
towards
more
investment
infrastructure
ethical
practices
that
will
lead
optimal
gains.
huge
potentials
enable
sustainability
Thailand
there;
hence,
it
is
important
reduce
associated
risks
require
equitably
distributed
results
all
sectors.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 22, 2024
With
the
expansion
of
manufacturing
sector,
it
has
become
crucial
to
incorporate
sustainable
production
methods
in
order
remain
competitive
market.
This
study
focuses
on
addressing
needs
industry
by
conducting
a
sustainability
analysis
electric
discharge
machining
for
SS310
alloy.
The
explores
impact
various
electrode
materials,
instance,
copper
and
brass,
as
well
different
variables,
including
current
(I
=
4–12
A),
spark
gap
(SG
6–12
mu),
pulse
duration
(Pon
15–45
μs),
duty
cycle
(DC
75–85%)
using
Taguchi
method.
objective
is
optimize
performance
measures,
which
includes
material
removal
rate
(MRR),
surface
roughness
(Ra),
wear
(EW),
energy
consumption
(EC).
In
addition,
economic
process
takes
into
account
factors
such
cost,
dielectric
EW
labor
machine
depreciation
cost
both
types
electrodes.
Furthermore,
investigates
carbon
emissions
resulting
from
EC,
consumption,
assess
environmental
process.
Multi-criteria
decision-making
approach
employed
taking
several
performance,
simultaneously.
From
empirical
analysis,
been
observed
that
outperformed
brass
terms
MRR
(2.67
mm3/min),
Ra
(3.36
µm),
(0.272
g),
EC
(145.08
kJ)
due
its
superior
electrical
thermal
characteristics.
offered
lower
costs
(2.02
PKR)
attributed
higher
conductivity
while
(5.5
(5.2
than
brass.
However,
revealed
application
results
(80.1
99.3
PKR,
respectively)
primarily
shorter
time.
showed
utilization
leads
reduced
9.8
g
CO2
during
(5.07
CO2)
(54.58
compared
electrode.
Based
multi-criteria
composite
desirability
function
approach,
evident
exhibits
MRR,
Ra,
total
cost.
Conversely,
demonstrates
better
overall
emissions.
