Procedia Computer Science,
Journal Year:
2024,
Volume and Issue:
232, P. 726 - 735
Published: Jan. 1, 2024
The
emerging
concept
of
Industry
5.0
has
led
industries
to
design
industrial
environments
integrating
robots
support
human
work.
impact
implementing
human-robot
interaction
(HRI)
on
humans
and
the
work-related
stress
linked
it
is
still
an
open
issue.
In
this
context,
measuring
mental
crucial
for
designing
effective
HRI
environments.
This
study
aims
experimentally
test
influence
robot's
presence
by
humans'
performance,
physiological
data,
workload
perception.
Sixty
participants
were
asked
perform
assembly
task
while
coexisting
with
a
robot.
Three
scenarios
tested,
changing
kind
performed
robot
distance
from
participants'
working
area.
Statistical
analyses
capture
differences
between
scenarios.
Results
show
that
does
not
significantly
affect
levels.
However,
when
decreases,
performance
affected,
concluding
proximity
could
cause
more
distraction
workers.
International Journal of Production Research,
Journal Year:
2023,
Volume and Issue:
61(22), P. 7749 - 7759
Published: Sept. 25, 2023
Industry
4.0
was
presented
more
than
a
decade
ago
as
the
fourth
industrial
revolution,
aiming
to
significantly
raise
level
of
sophistication
interconnected
technologies
and
thus
increase
manufacturing
industries'
profits.
However,
because
technology-driven
narrow
focus
on
performance
profit
fails
explain
how
prosperity
for
all
stakeholders
involved,
European
Commission
has
introduced
concept
5.0.
This
vision
overcomes
weaknesses
by
paying
explicit
attention
outcomes
humans
in
system
establishing
an
environment
create
human-centric,
resilient,
sustainable
systems.
Considering
these
developments,
this
position
paper
editorial
introducing
special
issue
International
Journal
Production
Research
elaborates
transition
from
5.0
through
10
papers
focusing
human-centric
pillar
its
impacts
production
logistics
design
management.
work
presents
guidance
systemic
approach
needed
future
research:
include
empirically
grounded
works
data-driven
multimethod
approaches
that
consider
diversity
operators
human
factors
demands
holistically
order
incorporate
ethical
implications
missing
–
pursuit
BIO Web of Conferences,
Journal Year:
2024,
Volume and Issue:
86, P. 01058 - 01058
Published: Jan. 1, 2024
In
the
context
of
Industry
5.0,
this
long-term
study
assesses
significant
influence
AI-based
sustainability
metrics.
It
also
illuminates
a
novel
paradigm
in
which
artificial
intelligence
(AI)
and
human
expertise
work
together
to
jointly
drive
sustainability,
financial
performance,
employee
satisfaction,
overall
ecological
responsibility.
AI-driven
efforts
produced
surprising
12%
reduction
trash
creation,
an
amazing
7%
energy
usage,
8%
drop
CO2
emissions
over
five-year
period.
Financially
speaking,
these
actions
showed
up
as
steady
4%
annual
revenue
growth,
$2
million
cost
reductions
on
average
each
year,
cumulative
3.4%
gain
return
investment.
The
factor
is
even
more
notable,
with
satisfaction
ratings
rising
from
4.2
4.7
work-life
balance
scores
significantly
4.1
4.6.
By
2024,
70%
workers
will
have
adopted
AI,
demonstrating
how
essential
AI
has
become
working.
An
all-encompassing
score
that
included
dynamic
components
increased
60
75
indicating
general
improvement
sustainability.
This
emphasizes
mutually
beneficial
relationship
between
5.0.
shows
fosters
sustainable
balanced
industrial
future
by
improving
environmental
responsibility
workforce
while
producing
benefits.
Comprehensive Reviews in Food Science and Food Safety,
Journal Year:
2024,
Volume and Issue:
23(6)
Published: Oct. 22, 2024
Abstract
Although
several
food‐related
fields
have
yet
to
fully
grasp
the
speed
and
breadth
of
fourth
industrial
revolution
(also
known
as
Industry
4.0),
growing
literature
from
other
sectors
shows
that
5.0
(referring
fifth
revolution)
is
already
underway.
Food
4.0
has
been
characterized
by
fusion
physical,
digital,
biological
advances
in
food
science
technology,
whereas
future
could
be
seen
a
more
holistic,
multidisciplinary,
multidimensional
approach.
This
review
will
focus
on
identifying
potential
enabling
technologies
harnessed
shape
coming
years.
We
state‐of‐the‐art
studies
use
innovative
various
agriculture
applications
over
last
5
In
addition,
opportunities
challenges
highlighted,
directions
conclusions
drawn.
Preliminary
evidence
suggests
outcome
an
evolutionary
process
not
revolution,
often
claimed.
Our
results
show
regenerative
and/or
conversational
artificial
intelligence,
Internet
Everything,
miniaturized
nanosensors,
4D
printing
beyond,
cobots
advanced
drones,
edge
computing,
redactable
blockchain,
metaverse
immersive
techniques,
cyber‐physical
systems,
digital
twins,
sixth‐generation
wireless
beyond
are
likely
among
main
driving
5.0.
framework,
vision,
value
becoming
popular
research
topics
academic
fields,
agri‐food
sector
just
started
embrace
some
aspects
dimensions
Journal of Robotics,
Journal Year:
2024,
Volume and Issue:
2024(1)
Published: Jan. 1, 2024
The
emergence
of
Industry
5.0
marks
a
transformative
era
in
manufacturing
industry
that
is
driven
by
the
integration
advanced
technologies.
It
renewed
focus
on
human–robot
collaboration.
At
forefront
this
industrial
revolution
stands
Cobotics,
field
emphasizes
cooperative
interaction
between
humans
and
robots
shared
workspaces.
This
research
paper
delves
into
critical
role
implications
Cobotics
context
5.0.
study
addresses
problem
effectively
integrating
Cobots
processes,
considering
technical,
economic,
social
challenges.
paper’s
objectives
include
surveying
existing
literature,
analyzing
developments
trends,
showcasing
real‐world
examples,
proposing
future
directions.
A
comprehensive
literature
review
explores
Cobotics’
foundations
its
alignment
with
principles.
presents
examples
successful
Cobot
across
various
industries,
demonstrating
benefits
such
as
increased
productivity,
improved
quality,
enhanced
worker
safety.
identifies
gaps
knowledge
contributions
to
field,
emphasizing
need
for
simplified
programming,
cost–benefit
analysis,
ethical
frameworks.
illuminates
central
5.0,
where
collaboration,
innovation,
inclusivity
are
paramount.
anticipates
will
continue
evolve,
shaping
empowering
workforce,
driving
sustainable,
data‐driven
transformations.
Algorithms,
Journal Year:
2023,
Volume and Issue:
16(8), P. 357 - 357
Published: July 26, 2023
The
aim
of
this
paper
is
to
present
a
systematic
literature
review
the
existing
research,
published
between
2006
and
2023,
in
field
artificial
intelligence
for
management
information
systems.
Of
3946
studies
that
were
considered
by
authors,
60
primary
selected
analysis.
analysis
shows
most
research
focused
on
application
AI
intelligent
process
automation,
with
an
increasing
number
focusing
predictive
analytics
natural
language
processing.
With
respect
platforms
used
researchers,
study
finds
cloud-based
solutions
are
preferred
over
on-premises
ones.
A
new
trend
deploying
applications
at
edge
industrial
networks
utilizing
federated
learning
also
identified.
need
focus
efforts
developing
guidelines
frameworks
terms
ethics,
data
privacy,
security
adoption
MIS
highlighted.
Developing
unified
digital
business
strategy
overcoming
barriers
user–AI
engagement
some
identified
challenges
obtaining
value
from
integration.
