Administrative Sciences,
Journal Year:
2024,
Volume and Issue:
14(6), P. 110 - 110
Published: May 22, 2024
This
research
aims
to
develop
a
conceptual
framework
and
propositions
establish
test
the
causal
relationships
between
Industry
5.0
readiness
(I5.0R),
global
value
chain
(GVC)
participation,
business
competitiveness
(BC),
sustainable
growth
(SBG)
of
small
medium-sized
enterprises
(SMEs).
study
focuses
on
readiness,
evaluated
through
human-centricity,
fairtrade
practices,
lean
management,
sustainability
competitiveness,
measured
by
marketing,
resources,
production,
finance.
Both
constructs
were
developed
tested
as
higher-order
constructs,
while
GVC
participation
assessed
lower-order
constructs.
Data
collected
from
marine
food
processing
SMEs
in
Thailand
using
purposive
sampling
technique.
confirmed
content
validity,
construct
reliability
both
lower
models.
Using
partial
least
squares
structural
equation
modeling
(PLS-SEM)
with
bootstrapping
(n
=
1000),
results
indicated
significant
positive
impacts
SMEs.
Additionally,
was
found
mediate
relationship
growth.
These
findings
contribute
literature
5.0,
GVCs,
SME
offering
practical
insights
for
policymakers
aiming
enhance
strategic
practices.
The
implications
directions
further
are
presented.
Mathematics,
Journal Year:
2023,
Volume and Issue:
11(15), P. 3350 - 3350
Published: July 31, 2023
Digital
twin
is
the
digital
representation
of
an
entity,
and
it
drives
Industry
4.0.
This
paper
presents
a
bibliometric
analysis
in
supply
chain
to
help
researchers,
industry
practitioners,
academics
understand
trend,
development,
focus
areas
chain.
found
several
key
clusters
research,
including
designing
model,
integration
application
quality
control,
digitalization.
In
embryonic
stage
was
tested
production
line
with
limited
optimization.
development
stage,
importance
4.0
observed,
as
big
data,
machine
learning,
Industrial
Internet
Things,
blockchain,
edge
computing,
cloud-based
systems
complemented
models.
applied
improve
sustainability
manufacturing
logistics.
current
prosperity
high
annual
publications,
recent
trends
this
topic
on
deep
data
models,
artificial
intelligence
for
also
that
COVID-19
pandemic
drove
start
research
Researchers
field
are
slowly
moving
towards
applying
human-centric
mass
personalization
prepare
transit
5.0.
International Journal of Production Research,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 16
Published: April 15, 2024
An
efficient
and
effective
spare
parts
supply
chain
management
is
crucial
to
ensure
highly
available
production
systems.
However,
achieving
such
a
challenging
due
the
intrinsic
characteristics
of
parts.
Traditional
chains
(TSPSCs)
adopt
large
inventories
tackle
characteristics,
with
disadvantages
in
terms
high
inventory
costs.
Recently,
Additive
Manufacturing
(AM)
has
shown
breakthrough
potential,
allowing
transition
from
TSPSCs
digital
(DSPSCs),
where
are
no
longer
stored
amounts
but
digitally
produced
only
when
needed.
despite
DSPSCs
benefits,
complete
still
far
becoming
reality.
Indeed,
hindering
lack
expertise
three
main
areas,
i.e.
how
design,
operate,
control
monitor
DSPSC.
With
this
position
paper,
we
envision
twin
(DT)
could
overcome
these
issues,
enabling
full
Moreover,
work
further
concretely
suggests
DT
be
developed,
providing
basis
for
developing
both
theoretical
practical
knowledge
necessary
render
International Journal of Production Research,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 22
Published: July 7, 2024
Digital
twins
in
Industry
4.0
enhance
lean
supply
chains
by
optimizing
efficiency,
reducing
costs,
and
ensuring
responsiveness
to
consumers.
However,
their
relationship
with
remains
understudied.
We
address
this
gap
through
a
systematic
literature
review,
analyzing
33
selected
papers
from
759
articles.
Utilizing
the
supply-chain
operations
reference
(SCOR)
framework,
we
assess
digital
twins'
impact
on
chain
processes
performances.
Our
findings
indicate
that
are
primarily
used
plan,
make,
delivery
processes,
limited
exploration
source
return
processes.
They
practices
improving
information
flow,
eliminating
waste,
logistics,
enabling
just-in-time
production.
top
management
commitment,
supplier
management,
customer
understudied
areas.
also
recognize
two
additional
areas
where
contribute:
enhancing
coordination,
bolstering
resilience,
particularly
against
disruptions
such
as
COVID-19
geopolitical
events.
Additionally,
propose
framework
for
twin-driven
smart
highlight
importance
of
future
research
(SCDT)
mapping,
convergence,
interaction,
cognition
service.
This
study
pioneers
exploring
motivations,
applications,
contributions
management.
International Journal of Production Research,
Journal Year:
2024,
Volume and Issue:
62(17), P. 6400 - 6426
Published: Jan. 31, 2024
Digital
Twins
(DTs)
hold
significant
promise
in
addressing
the
challenges
faced
by
food
supply
chains
(FSCs).
This
paper
aims
to
provide
critical
insights
into
potential
for
meet
key
of
FSC
and
establish
a
comprehensive
conceptual
framework
their
implementation.
Following
systematic
literature
review
(SLR),
study
identified
81
peer-reviewed,
high-quality
papers
published
over
last
decade
(2012–2023).
The
typology-driven
thematic
analysis
emphasises
emergent
nature
DTs
within
FSCs,
highlighting
characteristics
including
monitoring,
real-time
simulation,
scenario
analysis.
characteristics,
applications,
implementation
drivers
barriers
Twin
form
basis
novel
implementing
FSCs.
Leveraging
from
Innovation
Adoption
Theory
Technology-Organization-Environment
(TOE)
framework,
outlines
structured
five
step
process
divided
three
stages.
Notably,
technology
assessment
performance
evaluation
emerge
as
two
innovative
steps
necessary
successful
specifically,
not
previously
considered
theory.
identifies
promising
avenues
future
research.
These
findings
invaluable
guidance
researchers
practitioners
seeking
embrace
industry.
Production Engineering Archives,
Journal Year:
2024,
Volume and Issue:
30(1), P. 127 - 135
Published: Feb. 22, 2024
Abstract
The
topic
of
digital
transformation
in
supply
chain
optimization
has
garnered
considerable
attention
recent
years
due
to
its
importance.
purpose
the
study
was
offer
empirical
evidence
and
insights
into
advantages
obstacles
linked
with
management.
To
investigate
effects
on
optimization,
research
employs
a
hybrid
methodology
comprehensive
approach
that
includes
thorough
literature
review,
creation
theoretical
framework,
presentation
finings
through
various
case
studies
using
predefined
selection
criteria.
analyses
highlight
crucial
elements
support
effective
transformations,
including
real-time
data
analytics,
teamwork,
blockchain
technology,
twin
augmented
virtual
reality
collaborative
robots.
practical
implications
from
findings
this
study,
proffers
can
be
extremely
helpful
for
professionals
industrial
sectors
businesses
planning
similar
journeys.
This
regards
implication
Digital
5.0
management
is
novel
body
literature.
It
however
necessary
conduct
more
confirm
results,
apply
them
wider
range
businesses,
different
aspects
optimization.
Cleaner Logistics and Supply Chain,
Journal Year:
2024,
Volume and Issue:
11, P. 100154 - 100154
Published: April 30, 2024
Recent
major
disruptions
such
as
natural
disasters,
geopolitical
tensions,
Covid-19
pandemic
have
led
supply
chain
managers
to
rethink
strategies
for
achieving
significant
levels
of
sustainability
and
resilience.
At
the
same
time,
new
digital
technologies
are
offering
opportunities
increase
company
performance,
while
maintaining
a
high
level
customer
service.
In
this
challenging
context,
Supply
Chain
Digital
Twin
(SCDT)
represents
an
emerging
promising
concept,
which
deserves
be
explored.
paper,
holistic
cyclical
methodology,
based
on
simulation,
is
proposed
enable
exploit
SCDT
Paradigm,
with
main
aim
resilience
chains.
The
methodology
successfully
tested
validated
real
case
study
in
agri-food
sector,
through
use
anyLogistix
software.
results
return
valuable
information
face
any
considered
disruption
provide
useful
managerial
insights
actions
taken
improve
some
performance
indicators.
International Journal of Production Research,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 29
Published: June 28, 2024
This
study
introduces
a
data-centric
framework
for
end-to-end
supply
chain
resilience
management.
With
major
disruptions
such
as
pandemics
profoundly
affecting
industries
and
regions,
wealth
of
data
capturing
diverse
disruption
scenarios
has
emerged.
presents
an
opportunity
to
correlate
deviations
in
organizational
operations
with
outcomes,
reducing
reliance
on
external
supplier
alleviating
associated
privacy
concerns.
Utilizing
deep
learning,
survival
analysis,
explainable
artificial
intelligence,
the
research
represents
pioneering
advancement
translating
readily
accessible
into
forecasts
risks
sources,
differing
from
traditional
model-centric
methodologies.
The
application
this
real-world
scenario
based
U.S.
automotive
manufacturer
resulted
accurately
predicting
time-to-survive
critical
parts,
prediction
error
under
20
days
half-year-ahead
shortage
forecasts.
Notably,
model
achieved
50%
reduction
rates
near-term
long-term
predictions
compared
best-performing
alternative
models.
Our
findings
underscore
framework's
ability
effectively
address
complexities
global
unknown-unknown
uncertainties
by
harnessing
insights
gleaned
internal
operational
data.
accumulated
knowledge
enables
real-time
risk
identification
assessment,
empowering
organizations
deploy
timely
targeted
mitigation
strategies
enhancing
overall
resilience.
International Journal of Production Research,
Journal Year:
2023,
Volume and Issue:
62(10), P. 3606 - 3637
Published: Aug. 10, 2023
Supply
chains
operate
in
a
highly
distuptive
environment
where
SC
master
plan
should
be
updated
line
with
disruptions
to
ensure
that
high
service
level
is
provided
customers
while
total
cost
minimised.
There
an
absence
of
knowledge
how
cope
using
hybrid
modelling.
To
fill
this
gap,
we
present
modelling
framework
update
presence
disruptions.
The
proposed
framework,
which
precursor
digital
twin,
integrates
simulation,
machine
learning,
and
optimisation
identify
the
production,
storage,
distribution
values
maximise
minimising
under
This
approach
proves
effective
disrupted
by
demand
increase
lead
time
extension.
Results
show
employing
leads
noticeable
improvement
cost.
outcome
new
on
for
managing
provides
essential
learning
extension
through
twin
planning.
We
observe
it
more
economical
keep
higher
inventory
at
downstream
members
than
upstream
members.
