Journal of Modelling in Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 23, 2025
Purpose
This
study
introduces
a
multi-vaccine
multi-echelon
supply
chain
(MVMS)
framework
designed
to
ensure
sustainable
vaccine
distribution
during
outbreaks.
The
aims
minimize
the
total
costs
of
and
reduce
greenhouse
gas
(GHG)
emissions
mitigate
environmental
impacts
while
maximizing
job
opportunities
within
network.
Design/methodology/approach
Our
proposed
appraoch
employs
multi-objective
mixed-integer
linear
programming
model.
Findings
findings
indicate
that
incorporating
uncertainties
related
demand
inspection
errors
significantly
facilitates
timely
responses
unexpected
shortages,
fulfills
requirements
healthcare
facilities,
enhances
chain’s
resilience
against
future
uncertainties.
also
explores
managerial
implications
suggests
avenues
for
research
further
advance
this
field.
Originality/value
Existing
literature
on
MVMS
often
relies
simplifying
assumptions
perfect
vaccines
primarily
focuses
uncertainty.
However,
real-world
chains
are
typically
marked
by
imperfections,
disruptions,
variety
beyond
demand.
In
work,
we
address
several
sources
parameter
uncertainty,
including
variability,
errors,
waste,
defective
treatments
rates
enhance
robustness
our
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 8, 2025
The
outbreak
of
novel
infectious
diseases
presents
major
public
health
challenges,
highlighting
the
urgency
accelerating
vaccination
efforts
to
reduce
morbidity
and
mortality.
Vaccine
allocation
has
become
a
crucial
societal
concern.
This
paper
introduces
dynamic
vaccine
model
that
considers
demand
uncertainty
willingness,
focusing
on
trade-off
between
fairness
efficiency.
We
develop
multi-period
model,
evaluating
optimal
strategies
over
different
periods.
addresses
structural
differences
among
groups,
strategy
selection,
demand,
willingness.
Our
findings
suggest
prioritizing
efficiency
in
initial
stages
may
lead
inequitable
distribution,
causing
adverse
social
impacts,
while
overemphasizing
can
undermine
overall
utility.
Therefore,
we
propose
optimization-based
balancing
at
pandemic
stages.
results
indicate
should
shift
from
as
evolves
enhance
Additionally,
macro-level
interventions
like
reducing
free-rider
behavior
increasing
convenience
improve
total
study
offers
new
perspectives
methodologies
for
allocation,
efficiency,
providing
insights
policy
formulation
response.
International Journal of Systems Science Operations & Logistics,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: Feb. 2, 2025
Efficient
and
rapid
control
of
rapidly
evolving
unconventional
epidemics
in
the
early
stage
plays
a
vital
role
whole
cycle
epidemic
prevention.
This
study
introduces
novel
management
framework.
It
integrates
evolution,
government
responses,
logistics
processes
to
allocate
limited
intervention
resources
across
geographic
regions.
We
first
design
general
four-phase
response
model
describe
behaviour
during
controlling
an
epidemic.
An
improved
is
subsequently
developed
simulate
spread
infectious
diseases.
introduce
mutual
rescue
with
self-protect
pattern
use
best
while
considering
both
global
prevention
self-protect.
Finally,
we
propose
epidemics–response–logistics
integration
mathematical
model.
The
case
COVID-19
Hubei
Province
shows
that
our
proposed
can
effectively
reduce
number
infected
individuals.
Moreover,
analysis
different
measures
anti-epidemic
relevant
parameters
provides
valuable
suggestions
for
control.
modelling
framework
also
be
generalised
other
epidemics.
Journal of Modelling in Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 23, 2025
Purpose
This
study
introduces
a
multi-vaccine
multi-echelon
supply
chain
(MVMS)
framework
designed
to
ensure
sustainable
vaccine
distribution
during
outbreaks.
The
aims
minimize
the
total
costs
of
and
reduce
greenhouse
gas
(GHG)
emissions
mitigate
environmental
impacts
while
maximizing
job
opportunities
within
network.
Design/methodology/approach
Our
proposed
appraoch
employs
multi-objective
mixed-integer
linear
programming
model.
Findings
findings
indicate
that
incorporating
uncertainties
related
demand
inspection
errors
significantly
facilitates
timely
responses
unexpected
shortages,
fulfills
requirements
healthcare
facilities,
enhances
chain’s
resilience
against
future
uncertainties.
also
explores
managerial
implications
suggests
avenues
for
research
further
advance
this
field.
Originality/value
Existing
literature
on
MVMS
often
relies
simplifying
assumptions
perfect
vaccines
primarily
focuses
uncertainty.
However,
real-world
chains
are
typically
marked
by
imperfections,
disruptions,
variety
beyond
demand.
In
work,
we
address
several
sources
parameter
uncertainty,
including
variability,
errors,
waste,
defective
treatments
rates
enhance
robustness
our
