IMA Journal of Management Mathematics,
Journal Year:
2022,
Volume and Issue:
33(4), P. 603 - 636
Published: April 16, 2022
Abstract
This
paper
develops
an
optimization
model
for
a
sustainable
closed-loop
supply
chain
network
with
two
conflicting
objectives,
namely,
the
minimization
of
total
logistic
costs
and
amount
carbon
emissions.
The
first
objective
relates
to
financial
benefits,
whereas
second
represents
wider
goal
guaranteeing
cleaner
air
hence
greener
healthier
planet.
problem
is
modelled
as
mixed
integer
linear
programming
based-model.
aim
determine
location
distribution
centres
recycling
centres,
their
respective
numbers
type
vehicles
assigned
each
facility.
Vehicle
consideration,
not
commonly
used
in
literature,
adds
another
dimension
this
practical
challenging
problem.
A
matheuristic
using
compromise
put
forward
tackle
proposed
evaluated
variety
newly
generated
datasets
which
produces
solutions
that
demonstrate
importance
appropriate
balance
both
functions.
robustness
analysis
considering
fluctuations
customer
demand
assessed
Monte
Carlo
simulation.
results
show
if
standard
deviation
falls
within
10%
its
average,
unsatisfied
insignificant,
thus
demonstrating
stability
configuration.
invaluable
information
key
towards
helping
senior
management
make
relevant
operational
strategic
decisions
could
impact
on
sustainability
resilience
networks.
Production Planning & Control,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 25
Published: Jan. 15, 2024
Circular
economy
has
the
potential
to
counter
sustainability
challenges
by
moving
towards
a
circular
flow
that
enhances
efficiency
of
resource
use.
Government
directives
and
stakeholders'
pressures
are
forcing
organisations
redesign
their
global
supply
chain
network
fit
circularity
aims.
To
fulfil
this
need,
many
models
proposed
integrate
objectives
in
optimisation.
However,
designing
sustainable
within
framework
is
lacking.
This
barrier
for
provide
product.
fill
gap,
descriptive
content
analysis
used
paper
scrutinise
literature
develop
conceptual
incorporating
strategies
assist
design.
The
developed
useful
tool
helps
better
transition
from
linear
economy.
Based
on
results,
research
opportunities
identified
suggestions
future
proposed.
findings
researchers
managers
implement
practices
chain.
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
365, P. 121496 - 121496
Published: June 28, 2024
Designing
a
sustainable
Closed-Loop
Supply
Chain
(CLSC)
network
is
imperative
for
the
apparel
industry,
given
its
escalating
adverse
effects
on
economic,
environmental,
and
social
dimensions.
In
this
study,
novel
tri-objective
location-allocation
optimization
model
specifically
developed
designing
CLSC,
incorporating
industry's
unique
facilities.
The
aim
of
to
simultaneously
minimize
costs
negative
environmental
impacts
while
maximizing
benefits
under
demands
returns
uncertainty.
A
notable
research
contribution
lies
in
addressing
challenges
treating
different
types
returns,
including
commercial,
End
Of
Use
(EOU)
Life
(EOL)
due
their
uncertain
quality
quantity.
Additionally,
optimizes
performance
levels
production
facilities,
aspect
CLSC
research.
Moreover,
flexibility
constraints
related
demand
fulfilment
considered.
To
cope
with
such
uncertainties,
new
hybrid
robust
possibilistic
flexible
programming
developed,
by
extending
previous
methodologies.
core
innovation
solution
approach
pioneering
utilization
hexagonal
fuzzy
numbers
epistemic
parameters,
making
significant
advancement
field
CLSC.
Comparative
analysis
similar
studies
demonstrates
superiority
proposed
model,
over
method
using
triangular
numbers.
Furthermore,
AUGMECON
lexicographic
applied
handle
multi-objective
model.
application
shown
focusing
Southwestern
Ontario
Canada.
results
reveal
that
commercial
EOU
have
more
detrimental
impact
sustainability
aspects
compared
EOL
returns.
Annals of Operations Research,
Journal Year:
2022,
Volume and Issue:
328(1), P. 35 - 73
Published: Sept. 9, 2022
Abstract
The
recent
COVID-19
pandemic
revealed
that
healthcare
networks
must
have
a
flexible
and
effective
structure.
In
this
study,
we
develop
viable
network
design
for
using
multi-stage
stochastic
approach.
We
propose
multi-level
includes
health
centers,
computed
tomography
scan
hospitals,
clinics.
Patients
conditions
to
returning
normal
life
or
quarantining
at
home.
Three
objectives
are
defined:
maximizing
the
probability
of
patient
recovery,
minimizing
costs
all
centers
in
network,
Coronavirus
death
rate.
investigate
real
case
study
Iran
demonstrate
model’s
applicability.
Finally,
compare
supply
chain
with
situation
advise
how
can
continue
remain
viable.
Decision Making Applications in Management and Engineering,
Journal Year:
2022,
Volume and Issue:
5(2), P. 46 - 77
Published: Oct. 6, 2022
In
this
paper,
a
stable
CLSC
problem
is
modeled
in
conditions
of
uncertainty
and
indeterminacy.
The
SCN
designed
to
maximize
NPV
minimize
carbon
releases
by
maintaining
environment
friendly
policies
accounting
for
the
increase.
To
achieve
suitable
model
designing
CLSCN
making
important
decisions
such
as
selecting
right
suppliers,
type
transport,
initialing
facility,
optimal
flow
between
facilities,
accomplishing
an
efficient
solution
decision
making,
neutrosophic
optimization
method
used.
results
experiments
that
discuss
evaluate
different
scenarios
confirm
efficiency
validity
proposed
model.
findings
also
show
effective
improvement
obtained
solutions
reducing
time
up
twenty
percent
can
be
responsible
large-scale
problems
scenarios.
This
paper
uses
solve
under
