Logistics,
Год журнала:
2023,
Номер
7(1), С. 17 - 17
Опубликована: Март 15, 2023
Background:
Human–robot
collaboration
is
essential
for
efficient
manufacturing
and
logistics
as
robots
are
increasingly
used.
Using
industrial
part
of
an
automation
system
results
in
many
competitive
benefits,
including
improved
quality,
efficiency,
productivity,
reduced
waste
errors.
When
used
production,
human
coworkers’
psychological
factors
can
disrupt
operations.
This
study
aims
to
examine
the
effect
employees’
negative
attitudes
toward
on
their
acceptance
robot
technology
workplaces.
Methods:
A
survey
was
conducted
with
employees
companies
collect
data
towards
willingness
work
them.
Data
collected
from
499
factory
workers
Istanbul
using
a
convenience
sampling
method,
which
allowed
measurement
variables
analysis
effects
each
other.
To
analyze
data,
structural
equation
modeling
Results:
The
indicate
that
have
significant
However,
trust
found
be
positive
predictor
acceptance.
Conclusions:
These
findings
important
implications
seeking
integrate
into
Addressing
building
increase
workplaces,
leading
efficiency
productivity.
Engineering Science & Technology Journal,
Год журнала:
2024,
Номер
5(1), С. 169 - 184
Опубликована: Янв. 24, 2024
The
industrial
sector
plays
a
pivotal
role
in
global
economic
development,
but
its
energy
consumption
often
leads
to
environmental
challenges.
This
paper
provides
comprehensive
review
of
technologies
and
policy
measures
aimed
at
enhancing
efficiency
sectors.
Focusing
on
the
imperative
sustainable
practices,
analysis
encompasses
wide
array
industries,
considering
diverse
technological
solutions
frameworks.
Technological
advancements
have
enabled
innovative
approaches
efficiency,
ranging
from
process
optimization
waste
heat
recovery
implementation
smart
manufacturing
Industry
4.0
technologies.
explores
effectiveness
these
strategies
reducing
while
maintaining
or
even
improving
productivity.
It
delves
into
integration
artificial
intelligence,
machine
learning,
automation
enhance
management
systems,
ensuring
holistic
approach
improvements.
In
parallel,
scrutinizes
promoting
across
industries.
evaluates
efficacy
government
incentives,
regulatory
frameworks,
international
collaborations
driving
adoption
practices.
considers
case
studies
different
regions,
highlighting
successful
policies
that
led
significant
savings
emissions
reduction
sector.
Furthermore,
discusses
challenges
barriers
hindering
widespread
energy-efficient
emphasizes
need
for
supportive
environment,
financial
collaborative
efforts
between
governments,
research
institutions
overcome
nuanced
understanding
current
landscape
By
synthesizing
measures,
it
offers
insights
multifaceted
required
achieve
practices
domain.
findings
presented
this
contribute
ongoing
discourse
mitigating
impact
activities
fostering
growth
Keywords:
Energy,
Policy
Sustainable
Environmental
Impact,
Industrial
Activities,
Review.
Manufacturing
has
been
transformed
by
robotic
3D
printing,
the
Internet
of
Things
(IoT),
and
Artificial
Intelligence
(AI).
The
research
discusses
how
these
cuttingedge
advancements
may
maximize
industrial
component
customization
efficiency
precision.
printing's
fundamentals
advances
are
explained
to
emphasize
its
importance
in
current
industry.
Robotics
improves
printing
speed
accuracy,
demonstrating
automation
enhances
output
many
contexts.
In
this
environment,
IoT
enables
real-time
monitoring
management
processes
predictive
maintenance,
assuring
uninterrupted
output.
It
IoT's
potential
improve
resource
use
waste
reduction
with
printing.
Intelligent
algorithms
for
design
optimization,
material
selection,
mistake
detection
used
Case
studies
show
AI-driven
innovations
product
quality
customization,
meeting
rising
need
individualized
components.
These
technologies
work
together
change
production,
according
our
study.
demonstrates
integration
reduces
costs
wastes
performance.
problems
future
technology
fusion
explained,
highlighting
necessity
strong
cybersecurity
ethical
issues.
Abstract
Artificial
intelligence
is
emerging
as
a
transformative
force
in
addressing
the
multifaceted
challenges
of
food
safety,
quality,
and
security.
This
review
synthesizes
advancements
AI-driven
technologies,
such
machine
learning,
deep
natural
language
processing,
computer
vision,
their
applications
across
supply
chain,
based
on
comprehensive
analysis
literature
published
from
1990
to
2024.
AI
enhances
safety
through
real-time
contamination
detection,
predictive
risk
modeling,
compliance
monitoring,
reducing
public
health
risks.
It
improves
quality
by
automating
defect
optimizing
shelf-life
predictions,
ensuring
consistency
taste,
texture,
appearance.
Furthermore,
addresses
security
enabling
resource-efficient
agriculture,
yield
forecasting,
chain
optimization
ensure
availability
accessibility
nutritious
resources.
also
highlights
integration
with
advanced
processing
techniques
high-pressure
ultraviolet
treatment,
pulsed
electric
fields,
cold
plasma,
irradiation,
which
microbial
extend
shelf
life,
enhance
product
quality.
Additionally,
technologies
Internet
Things,
blockchain,
AI-powered
sensors
enables
proactive
management,
analytics,
automated
control.
By
examining
these
innovations'
potential
transparency,
efficiency,
decision-making
within
systems,
this
identifies
current
research
gaps
proposes
strategies
address
barriers
data
limitations,
model
generalizability,
ethical
concerns.
These
insights
underscore
critical
role
advancing
safer,
higher-quality,
more
secure
guiding
future
fostering
sustainable
systems
that
benefit
consumer
trust.
Materials,
Год журнала:
2025,
Номер
18(2), С. 240 - 240
Опубликована: Янв. 8, 2025
This
study
investigates
the
mechanical
properties
of
thermoplastic
polyurethane
(TPU)
60A,
which
is
a
flexible
material
that
can
be
used
to
produce
soft
robotic
grippers
using
additive
manufacturing.
Tensile
tests
were
conducted
under
ISO
37
and
527
standards
assess
effects
different
printing
orientations
(0°,
45°,
−45°,
90°,
quasi-isotropic)
test
speeds
(2
mm/min,
20
200
mm/min)
on
material’s
performance.
While
at
0°
quasi-isotropic
provided
similar
performance,
orientation
demonstrated
most
balanced
behavior,
establishing
it
as
optimal
choice
for
robust
predictable
particularly
computational
simulations.
TPU
60A’s
flexibility
further
emphasizes
its
suitability
handling
delicate
objects
in
industrial
agricultural
applications,
where
damage
prevention
critical.
Computational
simulations
finite
element
method
conducted.
To
verify
accuracy
models,
comparison
was
made
between
average
stresses
tensile
predictions.
The
relative
errors
force
displacement
are
lower
than
5%.
So,
constitutive
model
accurately
represent
making
suitable
with
this
material.
analysis
strain
rates
valuable
insights
into
optimizing
production
processes
enhanced
strength.
highlights
importance
tailored
parameters
achieve
uniformity,
suggesting
improvements
such
biaxial
testing
G-code
optimization
variable
thickness
deposition.
Overall,
research
offers
comprehensive
guidelines
future
design
manufacturing
techniques
robotics.
Green Technologies and Sustainability,
Год журнала:
2022,
Номер
1(1), С. 100001 - 100001
Опубликована: Окт. 24, 2022
Industry
4.0
requires
a
strong
understanding
of
Cyber–Physical
Systems
(CPS).
An
4.0-enabled
manufacturing
environment
that
offers
real-time
data
gathering,
transparency
and
analysis
across
all
parts
process
is
known
as
cyber–physical
systems,
also
cyber
manufacturing.
Data
analytics
enables
executives
to
make
data-driven
choices
boost
productivity,
while
automation
speeds
up
decreases
machine
downtime.
The
main
objective
deploying
solutions
enable
organisations
increase
collaboration
by
making
the
correct
information
accessible
right
people
in
real
time.
aim
encouraging
optimal
decision-making
at
appropriate
moment
improve
efficiency
production
further.
critical
terms
4.0,
such
CPS,
Internet
Things
(IoT),
Digital
Twin,
are
widely
used
interchangeably
conversations
about
smart
These
essential
because
they
give
users
access
operating
equipment
represent.
Cyber
components
physical
two
elements
CPS.
this
paper
brief
CPS
its
need
for
4.0.
Embedded
Processes
Smart
5C
diagrammatically
elaborate
architecture
Finally,
identifies
discusses
significant
applications
For
paper,
we
identified
then
studied
relevant
literature
on
establishing
an
environment.
integrated
into
several
items,
including
vehicles
other
equipment,
carry
out
particular
functions.
can
be
utilised
any
industry,
engineering,
manufacturing,
transportation,
even
health
care,
easy
use.
network
collaborative
systems
built
communication.
Furthermore,
cutting-edge
technologies
like
cloud
Machines,
Год журнала:
2022,
Номер
10(2), С. 150 - 150
Опубликована: Фев. 18, 2022
The
world
has
witnessed
the
digital
transformation
and
Industry
4.0
technologies
in
past
decade.
Nevertheless,
there
is
still
a
lack
of
automation
digitalization
certain
areas
manufacturing
industry;
particular,
warehouse
often
challenges
design
successful
deployment.
effective
management
inventory
plays
pivotal
role
supply
chain
production.
In
literature,
different
architectures
Warehouse
Management
Systems
(WMSs)
techniques
have
been
proposed,
but
most
those
focused
only
on
particular
sections
warehouses
lacked
To
achieve
goal
process
automation,
we
propose
an
Internet-of-Things
(IoT)-based
architecture
for
real-time
by
dividing
into
multiple
domains.
Architecture
viewpoints
were
used
to
present
models
based
context
diagram,
functional
view,
operational
view
specifically
catering
needs
stakeholders.
addition,
generic
IoT-based
prototype
system
that
enables
efficient
data
collection
transmission
proposed
architecture.
Finally,
developed
solution
was
deployed
textile
factory
validation
testing,
results
are
discussed.
A
comparison
key
performance
parameters
such
as
resilience,
efficiency,
latency
rate
showed
effectiveness
our
WMS
Sustainability,
Год журнала:
2022,
Номер
14(8), С. 4503 - 4503
Опубликована: Апрель 10, 2022
The
management
of
the
huge
amounts
waste
generated
from
domestic
and
industrial
activities
has
continued
to
be
a
source
concern
for
humanity
globally
because
its
impact
on
ecosystem
human
health.
Millions
tons
such
used
materials,
substances,
products
are
therefore
discarded,
rejected,
abandoned,
they
have
no
further
usefulness
or
application.
Additionally,
owing
dearth
affordable
materials
various
applications,
environmental
waste,
high
cost
procuring
virgin
there
been
intensive
efforts
directed
towards
achieving
reduction,
minimization,
eradication
in
activities.
current
review
investigates
zero-waste
(ZW)
manufacturing
techniques
zero
by
means
resource
recycling.
benefits
challenges
applying
innovative
technologies
recycling
order
achieve
ZW
investigated.
Techniques
conversion
glass,
paper,
metals,
textiles,
plastic,
tire,
wastewater
into
highlighted,
along
with
their
applications.
Although
several
drawbacks,
economy,
community,
environment
numerous
cannot
overlooked.
More
investigations
desirable
unravel
more
attaining
aim
pollution
mitigation,
cost-effective
recovery,
energy
security,
sustainability.
