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
Omega,
Journal Year:
2022,
Volume and Issue:
113, P. 102721 - 102721
Published: July 16, 2022
The
pandemic
caused
by
the
corona
virus
SARS-CoV-2
raised
many
new
challenges
for
humanity.
For
instance,
governments
imposed
regulations
such
as
lockdowns,
resulting
in
supply
chain
shocks
at
different
tiers.
Additionally,
delivery
services
reached
their
capacity
limits
because
demand
mail
orders
soared
temporarily
during
lockdowns.
We
argue
that
one
option
to
support
viability
last-mile
tier
is
use
(outdoor)
parcel
lockers
through
which
customers
can
collect
orderings
24/7
while
ensuring
physical
distancing.
location
planning
of
known
be
utmost
importance
success.
Another
important
topic
address
design
compartment
structure
should
meet
(uncertain)
customer
commodities.
Both
latter
issues
are
combined
into
optimization
problem
this
article.
objective
maximize
a
linear
function
(e.g.,
expected
profits)
covered
demand,
given
budget
an
operator
willing
invest.
An
integer
programming
formulation
proposed,
and
reformulation
based
on
Benders
decomposition
derived.
It
shown
cuts
separated
time.
developed
algorithms
enable
solving
large-scale
instances
demonstrated
performance
analysis
computational
experiments.
impact
parameters
obtained
solutions
sensitivity
analysis.
A
case
study
real-world
data
from
Austria
presented.
results
show
using
tier.
Moreover,
relatively
small
investment
cost
yields
promising
returns.
further
indicate
small-sized
medium-sized
compartments
preferred
over
large
x-large
ones
locker
design.
Computers & Industrial Engineering,
Journal Year:
2023,
Volume and Issue:
186, P. 109107 - 109107
Published: Feb. 20, 2023
To
mitigate
the
spread
of
novel
coronavirus,
how
to
optimise
COVID-19
medical
waste
location-transport
strategies
remains
an
open
but
urgent
issue.
In
this
paper,
a
digital
twin-driven
conceptual
framework
is
proposed
improve
strategic
decision
on
location
temporary
disposal
centres
and,
subsequently,
operational
transport
in
presence
hierarchical
relationships
amongst
stakeholders,
circular
economy,
uncertainty
infection
probability,
and
service
level.
The
economy
aspect
measured
by
reduction
risks
costs,
as
well
limiting
exhaust
emissions.
polyhedral
set
introduced
characterise
stochastic
probability.
Digital
twin
technology
further
used
estimate
upper
lower
bound
set.
Such
problem
formulated
robust
bi-level
mixed-integer
programming
model
minimise
total
level
costs
A
hybrid
solution
strategy
designed
combine
dual
theory,
Karush-Kuhn-Tucker
(KKT)
conditions,
branch-and-bound
approach.
Finally,
real
case
study
from
Maharashtra
India
presented
evaluate
model.
Results
demonstrate
that
performs
for
such
complex
because
CPU
time
required
conduct
all
experiments
less
than
one
hour.
Under
given
36
perturbation
ratio
20%,
regional
preferred
generation
points
transfer
points,
while
cross-regional
usually
implemented
centres.
It
significance
determine
available
Using
(e.g.,
twin)
accurately
amount
beneficial
controlling
pandemic.
Reducing
relative
cost
prioritised
goal
cleaning
up
within
relatively
long
period.
European Journal of Operational Research,
Journal Year:
2023,
Volume and Issue:
310(3), P. 1249 - 1272
Published: April 20, 2023
The
emergence
of
the
SARS-CoV-2
virus
and
new
viral
variations
with
higher
transmission
mortality
rates
have
highlighted
urgency
to
accelerate
vaccination
mitigate
morbidity
COVID-19
pandemic.
For
this
purpose,
paper
formulates
a
multi-vaccine,
multi-depot
location-inventory-routing
problem
for
vaccine
distribution.
proposed
model
addresses
wide
variety
concerns:
prioritizing
age
groups,
fair
distribution,
multi-dose
injection,
dynamic
demand,
etc.
To
solve
large-size
instances
model,
we
employ
Benders
decomposition
algorithm
number
acceleration
techniques.
monitor
demand
vaccines,
propose
adjusted
susceptible-infectious-recovered
(SIR)
epidemiological
where
infected
individuals
are
tested
quarantined.
solution
optimal
control
dynamically
allocates
reach
endemic
equilibrium
point.
Finally,
illustrate
applicability
performance
approach,
reports
extensive
numerical
experiments
on
real
case
study
campaign
in
France.
computational
results
show
that
is
12
times
faster,
its
solutions
are,
average,
16%
better
terms
quality
than
Gurobi
solver
under
limited
CPU
time.
In
strategies,
our
suggest
delaying
recommended
time
interval
between
doses
injection
by
factor
1.5
reduces
unmet
up
50%.
Furthermore,
observed
convex
function
fairness
an
appropriate
level
should
be
adapted
through
vaccination.
