International Transactions in Operational Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 22, 2024
Abstract
Many
third‐party
platforms
for
shared
manufacturing
(platforms)
have
developed
rapidly
in
recent
years.
The
quality
admission
and
pricing
of
production
capacity
are
crucial
issues
these
platforms.
This
paper
focuses
on
the
platform
supply
chain
composed
a
platform,
multiple
manufacturers
with
surplus
(sharers),
insufficient
(renters).
Considering
impact
scale
rental
demand
capacity,
this
constructs
game
model
under
different
scenarios,
investigates
price
decisions
analyses
sharers’
renters’
profits.
results
show
that
sets
when
is
small
regulatory
cost
low.
always
increases
its
service
but
may
reduce
scenario.
When
large,
lowers
threshold
elasticity
increasing.
In
addition,
low,
small,
realizes
win–win–win
situation
renters,
sharers.
Naval Research Logistics (NRL),
Journal Year:
2024,
Volume and Issue:
71(7), P. 976 - 1016
Published: April 18, 2024
During
various
stages
of
the
COVID-19
pandemic,
countries
implemented
diverse
vaccine
management
approaches,
influenced
by
variations
in
infrastructure
and
socio-economic
conditions.
This
article
provides
a
comprehensive
overview
optimization
models
developed
research
community
throughout
era,
aimed
at
enhancing
distribution
establishing
standardized
framework
for
future
pandemic
preparedness.
These
address
critical
issues
such
as
site
selection,
inventory
management,
allocation
strategies,
logistics,
route
encountered
during
crisis.
A
unified
is
employed
to
describe
models,
emphasizing
their
integration
with
epidemiological
facilitate
holistic
understanding.
also
summarizes
evolving
nature
literature,
relevant
gaps,
authors'
perspectives
model
selection.
Finally,
scopes
are
detailed
both
context
modeling
solutions
approaches.
Intelligent Transportation Infrastructure,
Journal Year:
2023,
Volume and Issue:
2
Published: Jan. 1, 2023
Abstract
The
concept
of
digital
twin
(DT)
has
emerged
as
a
trend
in
various
industries
development,
enabling
the
creation
virtual
models
physical
objects.
We
conduct
systematic
review
DT
technology
field
transportation
infrastructure
management
from
aspects
definition,
whole
life
cycle
application,
advanced
technology,
and
equipment
utilization,
well
challenges.
begin
with
an
introduction
that
defines
its
components,
while
also
distinguishing
it
building
information
modeling
cyber-physical
systems.
explore
diverse
applications
throughout
lifecycle
highlight
significance
structural
monitoring,
operation
maintenance,
dataset
expansion.
further
investigate
techniques
associated
focusing
on
importance
parts,
data
acquisition,
transmission,
multi-source
fusion
processing,
security
dynamic
updating
for
effective
integration
utilization
management.
identify
key
challenges
faced
by
propose
future
trends
study.
This
comprehensive
serves
valuable
resource
researchers,
practitioners,
decision-makers
understanding
potential
Electronics,
Journal Year:
2024,
Volume and Issue:
13(7), P. 1263 - 1263
Published: March 28, 2024
The
digital
twin
(DT)
paradigm
represents
a
groundbreaking
shift
in
the
Internet
of
Vehicles
(IoV)
landscape,
acting
as
an
instantaneous
replica
physical
entities.
This
synthesis
not
only
refines
vehicular
design
but
also
substantially
augments
driver
support
systems
and
streamlines
traffic
governance.
Diverging
from
prevalent
research
which
predominantly
examines
DT’s
technical
assimilation
within
IoV
infrastructures,
this
review
focuses
on
specific
deployments
goals
DT
sphere.
Through
extensive
scholarly
works
past
5
years,
paper
provides
fresh
detailed
perspective
significance
realm
IoV.
applications
are
methodically
categorized
across
four
pivotal
sectors:
industrial
manufacturing,
assistance
technology,
intelligent
transportation
networks,
resource
administration.
classification
sheds
light
diverse
capabilities
to
confront
adapt
intricate
challenges
contemporary
networks.
intent
comprehensive
overview
is
catalyze
innovation
by
providing
essential
reference
for
researchers
who
aspire
swiftly
grasp
complex
dynamics
evolving
domain.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(1), P. 463 - 463
Published: Jan. 4, 2024
Faced
with
the
challenges
of
increasing
demand
and
expanding
emissions,
China’s
mining
industry
is
at
a
crucial
stage
sustainable
development.
In
context
new
technological
revolution
industrial
transformation,
researching
how
digital
economy
can
promote
growth
green
total
factor
productivity
(GTFP)
in
industry,
particularly
against
backdrop
diversity,
vital
for
achieving
development
carbon
neutrality
goals.
This
study
utilizes
meta-frontier
Malmquist–Luenberger
(MML)
index
to
analyze
dynamics
GTFP
under
heterogeneity.
It
thoroughly
examines
direct
indirect
impacts
(DE)
on
delves
into
underlying
mechanisms
these
effects
using
spatial
Durbin
model.
The
empirical
results
reveal
significant
positive
relationship
between
DE
GTFP,
pronounced
areas
technical
efficiency
catch-up.
Notably,
this
identifies
mediating
role
structural
upgrading
linking
GTFP.
Additionally,
observed
spillover
effect
local
suggests
that
influence
extends
beyond
immediate
regions
within
sector.
Based
findings,
presents
policy
recommendations,
emphasizing
need
integrate
cutting-edge
technologies
enhance
environmental
sustainability.
International Journal of Production Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 27
Published: March 5, 2025
The
sales
model
of
front
distribution
centre
(FDC)
is
gaining
prominence
in
the
fresh
produce
sector.
However,
nature
such
localised
service
requires
substantial
costs.
Traditional
location
models,
driven
by
minimal
cost,
are
prone
to
neglect
potential
interruption
risks
brought
demand
uncertainty.
In
this
study,
we
propose
a
novel
hybrid
expansion
strategy,
extending
coverage
range
candidate
FDC,
reduce
fulfilment
costs
FDC
and
mitigate
risks.
We
aim
proactively
embed
resilience
under
model.
Additionally,
bi-objective
mixed-integer
programming
(MIP)
developed
simultaneously
minimise
total
cost
FDCs
operations
while
ensuring
maximum
resilience.
To
handle
uncertainty,
proposed
MIP
transformed
into
three
robust
optimisation
(RO)
models.
validate
approach,
comprehensive
numerical
experiments
conducted
based
on
real-life
case
study
Freshippo
Wuxi,
China.
results
demonstrate
that
strategy
expanding
with
different
achieves
better
balance
between
compared
traditional
limiting
within
3km.
RO
models
efficiently
address
uncertainty
maintaining
robustness
R-ellipsoid
reaches
best
among
