Journal of Manufacturing Technology Management,
Journal Year:
2024,
Volume and Issue:
35(9), P. 122 - 141
Published: July 2, 2024
Purpose
Examining
synergies
between
Lean,
Industry
4.0,
and
5.0
principles,
the
aim
is
to
showcase
how
Lean's
focus
on
people
enhances
implementations,
leading
development
of
Lean
paradigm.
In
addition,
insights
from
artisanal
industries,
like
fashion
one,
are
specifically
collected.
Design/methodology/approach
First,
a
literature
review
was
conducted
define
comprehensive
framework
understand
fits
into
Human-Centric
(HC)
paradigm
5.0.
Second,
case
study
employed
give
empirical
identify
practical
initiatives
that
brands
can
pursue,
involving
two
best-in-class
leather
goods
located
in
Italy.
Findings
A
conceptual
pave
way
for
new
defined
validated
through
study.
To
path
industry,
HC
detailed
domains
related
categories
group
practices.
The
demonstrate
actions
be
effectively
supported
by
4.0
technologies
traditional
sectors
shifting
towards
Practical
implications
proposed
practices
used
companies
facilitate
their
transition
5.0,
leveraging
Manufacturing.
Originality/value
innovative
contribution
present
work
mainly
refers
framework,
encompassing
introducing
enriches
contributions
industry.
International Journal of Production Research,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 29
Published: May 30, 2024
Flexible
job
shop
scheduling
problem
(FJSP)
with
worker
flexibility
has
gained
significant
attention
in
the
upcoming
Industry
5.0
era
because
of
its
computational
complexity
and
importance
production
processes.
It
is
normally
assumed
that
each
machine
typically
operated
by
one
at
any
time;
therefore,
shop-floor
managers
need
to
decide
on
most
efficient
assignments
for
machines
workers.
However,
processing
time
variable
uncertain
due
fluctuating
environment
caused
unsteady
operating
conditions
learning
effect
Meanwhile,
they
also
balance
workload
while
meeting
efficiency.
Thus
a
dual
resource-constrained
FJSP
worker's
fuzzy
(F-DRCFJSP-WL)
investigated
simultaneously
minimise
makespan,
total
workloads
maximum
workload.
Subsequently,
reinforcement
enhanced
multi-objective
memetic
algorithm
based
decomposition
(RL-MOMA/D)
proposed
solving
F-DRCFJSP-WL.
For
RL-MOMA/D,
Q-learning
incorporated
into
perform
neighbourhood
search
further
strengthen
exploitation
capability
algorithm.
Finally,
comprehensive
experiments
extensive
test
instances
case
study
aircraft
overhaul
are
conducted
demonstrate
effectiveness
superiority
method.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 81938 - 81967
Published: Jan. 1, 2024
Industry
5.0
is
one
of
the
emerging
stages
industrialization
in
which
humans
collaborate
with
cutting-edge
technologies
to
enhance
various
workplace
processes.
The
primary
objective
emphasize
meeting
needs
people
and
provide
enhanced
resilience
understanding
sustainability.
enables
cooperation
such
advanced
stakeholders
education
sector
ensure
efficiency
effectiveness
teaching-learning
process.
present
study
provides
an
exhaustive
review
role
smart
education.
At
outset,
a
brief
overview
scenario
its
associated
challenges
presented.
This
sets
stage
for
establishing
need
Education
1.0
progressive
transition
4.0.
Further,
motivation
integrate
4.0
related
enabling
that
support
are
discussed.
paper
extensively
description
application
educational
sectors
namely
medical
education,
further
learning,
distance
engineering
shop
floor
training.
also
presents
seven
case
studies
highlighting
successful
implementation
versatile
regions.
Finally,
discussed
pointing
potential
future
directions
research.
