Magna Scientia Advanced Research and Reviews,
Journal Year:
2024,
Volume and Issue:
10(2), P. 138 - 145
Published: March 30, 2024
The
review
delves
into
the
pivotal
role
of
technology
in
revolutionizing
supply
chain
risk
management
practices
within
logistics
sector.
paper
explores
myriad
risks
faced
by
modern
chains,
ranging
from
natural
disasters
and
geopolitical
tensions
to
cyber
threats
disruptions
global
trade
patterns.
It
investigates
how
technological
innovations
such
as
blockchain,
Internet
Things
(IoT),
artificial
intelligence
(AI),
predictive
analytics
are
reshaping
traditional
approaches
providing
real-time
visibility,
data-driven
insights,
proactive
mitigation
strategies.
Through
a
comprehensive
analysis,
study
examines
transformative
potential
these
technologies
enhancing
resilience,
agility,
responsiveness
unforeseen
disruptions.
highlights
benefits
leveraging
blockchain
for
secure
transparent
transactions,
IoT
sensors
monitoring
goods
transit,
AI
algorithms
modeling,
identifying
mitigating
before
they
escalate.
Furthermore,
challenges
complexities
associated
with
adopting
integrating
existing
processes,
including
interoperability
issues,
data
privacy
concerns,
need
specialized
expertise.
By
practical
case
studies,
best
practices,
aims
empower
professionals,
policymakers,
industry
stakeholders
harness
full
technology-driven
solutions
managing
effectively
ensuring
business
continuity
an
increasingly
uncertain
volatile
environment.
International Journal of Management & Entrepreneurship Research,
Journal Year:
2024,
Volume and Issue:
6(3), P. 878 - 889
Published: March 23, 2024
The
review
delves
into
the
pivotal
role
of
technology
in
revolutionizing
supply
chain
risk
management
practices
within
logistics
sector.
paper
explores
myriad
risks
faced
by
modern
chains,
ranging
from
natural
disasters
and
geopolitical
tensions
to
cyber
threats
disruptions
global
trade
patterns.
It
investigates
how
technological
innovations
such
as
blockchain,
Internet
Things
(IoT),
artificial
intelligence
(AI),
predictive
analytics
are
reshaping
traditional
approaches
providing
real-time
visibility,
data-driven
insights,
proactive
mitigation
strategies.
Through
a
comprehensive
analysis,
study
examines
transformative
potential
these
technologies
enhancing
resilience,
agility,
responsiveness
unforeseen
disruptions.
highlights
benefits
leveraging
blockchain
for
secure
transparent
transactions,
IoT
sensors
monitoring
goods
transit,
AI
algorithms
modeling,
identifying
mitigating
before
they
escalate.
Furthermore,
challenges
complexities
associated
with
adopting
integrating
existing
processes,
including
interoperability
issues,
data
privacy
concerns,
need
specialized
expertise.
By
practical
case
studies,
best
practices,
aims
empower
professionals,
policymakers,
industry
stakeholders
harness
full
technology-driven
solutions
managing
effectively
ensuring
business
continuity
an
increasingly
uncertain
volatile
environment.
Keywords:
Technology,
Supply
Chain,
Risk
Management,
Innovations,
Challenges,
Logistics.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(7), P. 2333 - 2333
Published: April 7, 2025
In
human-robot
hybrid
intelligent
warehouses,
pallets
often
come
in
various
shapes
and
sizes,
posing
challenges
for
AGVs
to
automate
pallet
picking.
This,
turn,
reduces
the
overall
operational
efficiency
of
warehouse.
To
address
this
issue,
paper
proposes
a
lightweight
component
segmentation
network
using
dual-attention
mechanism
achieve
precise
pallet's
stringer
board
accurate
localization
slots.
overcome
challenge
redundant
computations
existing
semantic
models,
which
are
unable
balance
spatial
details
high-level
information,
utilizes
dual-branch
attention
within
an
encoder-decoder
architecture
effectively
capture
details.
On
basis,
residual
structure
is
introduced
reduce
parameters,
addressing
issues
like
vanishing
exploding
gradients
during
training.
Due
lack
public
image
dataset,
was
tested
custom-made
dataset.
The
results
show
that
by
extracting
intermediate-,
low-,
features
from
input
images
integrating
them
construct
multi-scale
images,
types
can
be
achieved
with
limited
annotated
images.
Furthermore,
comprehensively
evaluate
model's
robustness,
additional
experiments
were
conducted
under
varying
illumination
conditions
background
noise
levels.
demonstrate
proposed
method
identify
locate
multi-category
targets
while
maintaining
high
accuracy
different
lighting
interferences,
verifying
robustness
complex
warehousing
environments.
Compared
traditional
model,
model
achieves
10.41%
improvement
32.8%
increase
processing
speed.
we
used
pallet-positioning
has
good
positioning
taken
distances
angles.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(24), P. 8044 - 8044
Published: Dec. 17, 2024
With
the
widespread
use
of
autonomous
guided
vehicles
(AGVs),
avoiding
collisions
has
become
a
challenging
problem.
Addressing
issue
is
not
straightforward
since
production
efficiency,
collision
avoidance,
and
energy
consumption
are
conflicting
factors.
This
paper
proposes
novel
edge
computing
method
based
on
vehicle
intelligence
to
solve
energy-efficient
collision-free
machine/AGV
scheduling
First,
architecture
was
built,
corresponding
state
transition
diagrams
for
were
developed.
Second,
problem
modeled
as
multi-objective
function
with
electric
capacity
constraints,
where
prevention,
conservation
comprehensively
considered.
Third,
an
artificial
plant
community
algorithm
explored
AGVs.
The
proposed
utilizes
heuristic
search
swarm
multiple
AGVs
realize
suitable
deploying
embedded
platforms
computing.
Finally,
benchmark
dataset
developed,
some
experiments
conducted,
results
revealed
that
could
effectively
instruct
automatic
avoid
high
efficiency.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(7), P. 3000 - 3000
Published: April 3, 2024
To
achieve
the
elimination
of
negative
impacts
transport
on
road
safety,
European
Union
is
taking
various
measures
resulting
from
its
commitment
to
improve
safety.
The
main
objective
this
paper
assess
impact
social
legislation
safety
using
real
research
and
identify
factors
influencing
violation
depending
type
carried
out
in
domestic
or
international
freight
transport.
Answers
respondents
are
used
segmentation
truck
drivers
based
input
data
describing
traffic
rules.
Two-step
cluster
analysis
a
suitable
method
for
data.
These
obtained
through
questionnaire
total
472
Czech
Slovak
drivers.
results
show
that
optimal
number
types
with
different
characteristics
four.
All
clusters
described
compared.
majority
do
not
violate
several
reasons,
such
as
accidents
(almost
67%),
complications
meeting
loading
unloading
deadline
(less
than
88%),
poorly
planned
routes
(more
90%)
driving
home
80%).
Electronics,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2377 - 2377
Published: June 18, 2024
This
paper
deals
with
the
position
detection
of
automated
guided
vehicles
(AGVs)
in
dynamic
resonant-inductive
wireless
power
transfer
(WPT)
systems.
A
is
necessary
to
activate
correct
transmitting
coil.
One
simplest
and
most
effective
approaches
for
a
method
use
optical
or
magnetic
sensors
each
However,
due
needing
high
number
sensors,
this
technique
relatively
expensive.
Therefore,
an
AGV
based
on
reduced
(by
factor
two)
proposed.
The
proposed
was
verified
experimentally
by
using
scaled-down
prototype
WPT
system.
approach
can
be
easily
implemented
uploading
specific
program
code
microcontroller.
microcontroller
developed
us
used
processing
data
from
activating
suitable
coil
controlling
inverter
As
shown
experiments,
AGVs
activation
coils,
two,
leading
reductions
overall
cost
level
complexity
system
without
degrading
its
performance.
