International Journal For Multidisciplinary Research,
Journal Year:
2024,
Volume and Issue:
6(6)
Published: Dec. 24, 2024
Integrating
cloud
computing
and
edge
management
systems
in
the
manufacturing
sector
is
revolutionizing
traditional
production
paradigms.
This
comprehensive
article
examines
how
smart
factories
are
leveraging
cloud-based
platforms
Internet
of
Things
(IoT)
devices
to
transform
their
operations
through
enhanced
monitoring
capabilities,
predictive
maintenance
strategies,
real-time
optimization.
The
analyzes
three-tier
architecture
modern
systems,
exploring
synergies
between
computing,
network
infrastructure,
platforms.
By
examining
implementation
challenges,
security
concerns,
emerging
trends,
this
provides
insights
into
facilities
achieving
improved
efficiency,
reduced
operational
costs,
quality
control
digital
transformation.
encompasses
case
studies
from
automotive
pharmaceutical
sectors,
demonstrating
practical
applications
benefits
these
technologies
diverse
environments.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 317 - 346
Published: March 6, 2025
The
manufacturing
industry
has
motivated
the
development
of
region
in
which
it
is
located.
In
last
few
years
adopted
innovations
and
advanced
digital
process
technology,
among
can
be
mentioned
Machine
Learning
(ML),
a
subset
artificial
intelligence
(AI)
to
make
industrial
processes
smarter,
more
efficient,
highly
optimized
operations.
this
review,
research
studies
related
with
application
ML
algorithms
problems
situations
value
chain
are
explored.
After
presenting
applications,
benefits,
challenges,
chapter
recalls
future
trends
machine
learning
context,
like
predictive
maintenance,
quality
control,
optimization,
supply
management,
accomplished
Latin
America.
that
way
explores
optimization.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(4), P. 1564 - 1564
Published: Feb. 15, 2024
The
design
and
functionality
of
the
human–machine
interface
(HMI)
significantly
affects
operational
efficiency
safety
related
to
process
control.
Alarm
management
techniques
consider
cognitive
model
operators,
but
mainly
only
from
a
signal
perception
point
view.
To
develop
human-centric
alarm
system,
construction
an
easy-to-use
supportive
HMI
is
essential.
This
work
suggests
development
method
that
uses
machine
learning
(ML)
tools.
key
idea
more
higher-level
displays
can
be
developed
by
analysing
operator-related
events
in
log
file.
obtained
contains
relevant
data
on
relationship
events,
enabling
network-like
visualisation.
Attributes
network
allow
us
solve
minimisation
problem
ideal
workflow–display
relation.
suggested
approach
allows
targeted
pattern
exploration
with
respect
content
hierarchy.
was
applied
real-life
hydrofluoric
acid
alkylation
plant,
where
proposal
made
about
overview
display.
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(21), P. 11997 - 11997
Published: Nov. 3, 2023
This
paper
delves
into
the
complex
task
of
evaluating
a
website
user
interface
(UI)
and
experience
(UX),
process
complicated
by
gaps
in
research.
To
bridge
this,
we
introduced
an
innovative
human–computer
interaction
(HCI)
framework
that
synergizes
expert
cognitive
walkthroughs
surveys
for
comprehensive
view.
We
transformed
responses
three
key
domains—control,
engagement,
goal.
Our
work
also
generalized
extract
four
context-level
data
metrics
robust
evaluation.
The
numerical
evidence,
such
as
C1
score
4.1,
surpassing
usability
benchmark,
indicated
our
framework’s
effectiveness.
research
not
only
addresses
essential
gap
integrating
assessments
from
both
users
experts,
but
offers
actionable
insights
UI/UX
design.
findings
extend
beyond
this
specific
context,
providing
potent
evaluation
tool
across
various
websites.
Lastly,
underscores
importance
prioritizing
users’
needs
recommendations
design
principles,
significantly
contributing
to
broader
domain
experience.
Mathematics,
Journal Year:
2024,
Volume and Issue:
12(17), P. 2663 - 2663
Published: Aug. 27, 2024
Prescriptive
analytics
plays
an
important
role
in
decision
making
smart
factories
by
utilizing
the
available
data
to
gain
actionable
insights.
The
planning,
integration
and
development
of
such
use
cases
still
poses
manifold
challenges.
Use
are
being
implemented
as
standalone
versions;
existing
IT-infrastructure
is
not
fit
for
integrative
bidirectional
communication,
implementations
only
reach
low
technical
readiness
levels.
We
propose
a
reference
architecture
prescriptive
factories.
method
empirically
grounded
architectures
Galster
Avgeriou
serves
blueprint.
Through
validation
specific
IoT-Factory
case,
we
demonstrate
efficacy
proposed
architecture.
expand
given
one
case
factory
its
application
multiple
cases.
Moreover,
identify
interdependency
among
within
dynamic
environments.
Our
provides
structured
way
improve
operational
efficiency
optimize
resource
allocation.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(12), P. 4967 - 4967
Published: June 7, 2024
Strict
air
pressure
control
is
paramount
in
industries
such
as
petroleum,
chemicals,
transportation,
and
mining
to
ensure
production
safety
improve
operational
efficiency.
In
these
fields,
accurate
real-time
monitoring
critical
optimize
operations
facility
personnel
safety.
Although
current
Internet
of
Things
systems
enable
users
make
decisions
based
on
objective
data,
existing
approaches
are
limited
by
long
response
times,
low
efficiency,
inadequate
preprocessing.
Additionally,
the
exponential
increase
data
volumes
creates
risk
server
downtime.
To
address
challenges,
this
paper
proposes
a
novel
scheme
that
uses
Arduino
microcontrollers
conjunction
with
GPRS
network
communication.
It
also
Apache
Kafka
construct
multi-server
cluster
for
high-performance
message
processing.
Furthermore,
backed
up
configuring
multiple
replications,
which
safeguards
against
loss
during
failures.
The
includes
an
intuitive
user-friendly
visualization
interface
analysis
subsequent
decision
making.
experimental
results
demonstrate
approach
offers
high
throughput
timely
responsiveness,
providing
more
reliable
option
gathering,
analysis,
storage
massive
data.
Cihan University-Erbil Scientific Journal,
Journal Year:
2024,
Volume and Issue:
8(1), P. 80 - 84
Published: June 30, 2024
Industrial
Wireless
Sensor
Networks
are
increased
in
recent
years
due
to
provide
real-time
monitoring,
decision-making
and
controlling.
used
many
factories
such
as:
food
production,
aircraft
factory
pharmaceutical
factory.
The
aim
of
this
research
is
focus
on
the
smart
challenges
that
need
be
considered
use
its
location,
energy
consumptions
security.
discuss
different
issues
highlighted
importance
using
improve
performance
process
service
monitoring
for
industrial
improvement.
2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI),
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 6
