Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(4), P. 2191 - 2191
Published: Feb. 19, 2025
Background:
The
integration
of
lean
management
and
Industry
4.0
offers
great
potential
for
improving
the
efficiency
effectiveness
production.
However,
there
is
still
minimal
empirical
research
on
how
these
two
approaches
interact
in
practice,
including
possible
synergies
conflicts.
In
this
paper,
we
use
observations
to
examine
why
technologies
can
support
enhance
continuous
improvement
process,
a
fundamental
aspect
management.
We
discuss
specifically
contribute
their
overall
impact
operational
efficiency.
Methods:
Our
drew
five
case
studies,
capturing
firsthand
experiences
industry
professionals—specifically,
digitization
managers
production
from
manufacturing
companies
across
Europe.
analyzed
data
using
qualitative
content
analysis,
applying
structured
approach
coding,
summarizing,
cross-case
comparison
identify
key
patterns
insights.
Conclusions:
study
has
shown
that
digitalization
an
advanced
process
several
ways.
Through
literature
review
as
well
analysis
cases,
were
able
develop
new
model
describes
I4.0
improve
principle.
highlights
areas
impacts:
increasing
flexibility,
transparency,
reliability,
improved
decision-making
acceptance
change
processes.
Advances in human resources management and organizational development book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 26
Published: Jan. 24, 2025
As
the
world
enters
Industry
5.0,
universities
must
evolve
as
educators,
innovators,
and
societal
leaders.
This
chapter
examines
impact
of
5.0
on
higher
education,
emphasizing
advanced
technologies,
interdisciplinary
collaboration,
human-centric
approaches.
It
highlights
integration
AI,
robotics,
data
analytics
in
research,
teaching,
operations,
stressing
need
to
bridge
digital
divide,
train
faculty
emerging
tools,
foster
lifelong
learning
through
microcredentials.
The
CDIO
framework
is
revisited,
aligning
with
5.0's
ethical
demands.
University-industry
partnerships
are
essential
for
curricula,
fostering
innovation,
providing
practical
opportunities.
underscores
role
promoting
sustainability,
ethics,
community
engagement
ensure
technology
serves
well-being.
Recommendations
include
adopting
smart
campus
supporting
entrepreneurship,
advocating
equitable,
ethical,
technology-driven
educational
policies.
Data & Metadata,
Journal Year:
2025,
Volume and Issue:
4, P. 209 - 209
Published: Jan. 14, 2025
The
4th
industrial
revolution
is
driven
by
the
implementation
of
automated
robots
and
artificial
intelligence
(AI)
to
enhance
efficiency,
accuracy,
safety.
This
integration
encompasses
several
vital
domains
like
optimizing
supply
chain,
interaction
between
human
on
shop
floor,
predictive
maintenance,
automation
repetitive
tasks,
customisation,
behaviour
design,
safety
management,
data
analysis,
etc.
AI-enabled
perform
tasks
at
very
high
precision,
reducing
chances
error
allowing
workers
focus
more
complex
tasks.
Automated
upkeep
utilizes
AI
determine
time
machinery
will
likely
fail,
which
minimizes
downtime
maintenance
costs.
testing
AI-driven
vision
systems
support
quality
control
ensuring
a
balanced
product.
improves
chain
processes,
logistics
inventory
management.
Collaboration
humans
collaborative
robot’s
results
in
safer
productive
environments
with
people
working
alongside
each
other.
Artificial
Intelligence
plays
an
important
role
making
smarter
decisions,
analysing
effectively,
providing
valuable
information
that
can
be
used
improve
operations.
Manufacturing
customization
flexibility
are
reliant
adaptive
ability
manufacture
personalized
products
means
productivity.
Safe
Risk
Management
consolidated
because
work
dangerous
scenarios
models
assess
potential
dangers.
Despite
challenges
including
labour
displacement,
cybersecurity,
ethics,
stemming
from
this
technology,
these
all
potentially
available
your
terms.
article
reviews
broader
impacts
have
had
sector,
placing
emphasis
it
could
lead
towards
as
well
key
elements
consider
before
implementing
it.
International Journal of Lean Six Sigma,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 10, 2025
Purpose
This
study
aims
to
explore
the
challenges
and
opportunities
of
adopting
Industry
4.0
technologies
in
Africa,
specifically
focusing
on
automotive
industries
Morocco
Nigeria.
By
comparing
these
two
leading
African
countries
adoption,
research
seeks
identify
key
factors
influencing
implementation
smart
manufacturing
provide
insights
into
potential
benefits
faced.
Design/methodology/approach
The
uses
a
multiple
case
design
with
quantitative
approach,
collecting
data
through
structured
questionnaires
from
167
participants
across
five
companies
Regression
analysis
assessed
impact
challenges.
Statistical
identified
significant
differences
between
countries.
Findings
reveals
perceived
adoption
In
Morocco,
include
high
costs
resistance
change,
whereas,
Nigeria,
lack
skilled
workforce
are
predominant
barriers.
Both
recognize
improved
productivity,
better
product
quality
enhanced
supply
chain
agility.
Research
limitations/implications
While
focused
industry,
provides
valuable
for
expanded
future
research.
Practical
implications
provided
by
this
can
guide
policymakers
developing
tailored
strategies
support
Africa.
For
organizations,
understanding
specific
aid
designing
effective
plans,
enhancing
competitiveness
achieving
sustainable
growth.
Originality/value
providing
comparative
offers
unique
different
contexts
North
West
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(4), P. 2191 - 2191
Published: Feb. 19, 2025
Background:
The
integration
of
lean
management
and
Industry
4.0
offers
great
potential
for
improving
the
efficiency
effectiveness
production.
However,
there
is
still
minimal
empirical
research
on
how
these
two
approaches
interact
in
practice,
including
possible
synergies
conflicts.
In
this
paper,
we
use
observations
to
examine
why
technologies
can
support
enhance
continuous
improvement
process,
a
fundamental
aspect
management.
We
discuss
specifically
contribute
their
overall
impact
operational
efficiency.
Methods:
Our
drew
five
case
studies,
capturing
firsthand
experiences
industry
professionals—specifically,
digitization
managers
production
from
manufacturing
companies
across
Europe.
analyzed
data
using
qualitative
content
analysis,
applying
structured
approach
coding,
summarizing,
cross-case
comparison
identify
key
patterns
insights.
Conclusions:
study
has
shown
that
digitalization
an
advanced
process
several
ways.
Through
literature
review
as
well
analysis
cases,
were
able
develop
new
model
describes
I4.0
improve
principle.
highlights
areas
impacts:
increasing
flexibility,
transparency,
reliability,
improved
decision-making
acceptance
change
processes.
