Sustainable Manufacturing and Service Economics,
Год журнала:
2024,
Номер
3, С. 100022 - 100022
Опубликована: Янв. 1, 2024
The
supply
chain
(SC)
as
the
most
significant
factor
influencing
competitive
advantage
has
a
great
impact
on
organization's
life
and
progress.
Considering
expiration
date
of
products
in
modeling
is
essential
for
ensuring
operational
efficiency,
reducing
waste,
maintaining
product
quality,
ultimately
driving
business
success.
Therefore,
this
paper
provides
two-level
including
manufacturer
distributor
then
with
considered
conditions
applying
concept
Markowitz's
theory.
Finally,
drawing
optimal
cost
curve
producer
an
efficient
frontier.
For
purpose,
main
contribution
determining
each
level
if
another
known
increasing
power
analysis.
proposed
model
applied
Darupakhsh
Manufacturing
Company
Mahya
Daroo
Distribution
Company,
two-echelon
design,
developed.
At
first,
modeled,
then,
implementing
Markowitz
theory,
drawn
Findings
show
it
found
that
two
echelons
inversely
correlated
decreases
increase
one.
Furthermore,
warehouse
limit
redundant
no
effect
final
response.
Also,
manufacturer,
number
deliveries
decreases,
instead,
delivery
increases,
which
results
reduction
costs
distributor.
Journal of Engineering Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 1, 2024
This
research
aims
to
develop
and
optimize
an
intelligent
supply
chain
framework
tailored
for
the
insurance
industry
by
integrating
innovative
inventory
management
policy
supported
Internet
of
Things
(IoT)
blockchain
technologies.
Through
extensive
literature
review,
key
assumptions
are
established,
needs
identified,
objectives
formulated.
A
multi-objective
mathematical
planning
model
is
proposed
minimize
cost
time
within
chain,
with
optimization
conducted
under
deterministic
fuzzy
conditions.
The
utilizes
augmented
epsilon
constraint
weighted
sum
methods
address
its
multi-objectiveness.
Noteworthy
integration
advanced
technologies
such
as
Wireless
Sensor
Networks
(WSN),
Radio-Frequency
Identification
(RFID),
blockchain,
online
sales,
distinguishing
it
from
traditional
approaches.
Initial
validation
testing
in
smaller
dimensions
demonstrate
model's
adaptability
precise
methods,
while
larger
necessitate
use
meta-heuristic
algorithms
efficient
problem
resolution.
Additionally,
a
comprehensive
sensitivity
analysis
on
objective
function
coefficients
reveals
intricate
relationships,
offering
valuable
insights
into
dynamics
across
diverse
International Journal of Management Science and Engineering Management,
Год журнала:
2024,
Номер
19(4), С. 305 - 320
Опубликована: Апрель 18, 2024
Food
products
are
a
critical
part
of
everyday
life.
To
increase
the
efficiency
food
supply
chain,
designing
comprehensive
mathematical
is
necessary.
This
study
tries
to
optimize
protein
chain.
chain
divided
into
livestock
and
perishable
products.
The
integration
these
two
echelons
has
been
applied
create
an
extensive
model.
Moreover,
sustainability
considered
as
competitive
advantage
in
Perishable
temperature-sensitive.
Hence,
cold
considered.
model
three
objective
functions:
maximizing
total
profit,
minimizing
storage
cost
health
risk.
In
dealing
with
uncertainty,
data-driven
robust
optimization
method
used.
Therefore,
this
paper
used
machine
learning
construct
uncertainty
sets
from
historical
data.
Torabi-Hassini
implemented
solve
multi-objective
Finally,
show
applicability
proposed
approach,
real-world
case
on
poultry
including
abattoirs,
breeding
centers,
slaughtering,
selling
branches,
applied.
result
shows
that
methodology
significantly
influences
profits
improves
environmental
criteria
study.
different
sensitivity
analyses
have
prepared
help
managers
make
trade-off
between
robustness
function
value
various
weights
calculate
influence
functions.
International Journal of Systems Science Operations & Logistics,
Год журнала:
2024,
Номер
11(1)
Опубликована: Фев. 9, 2024
In
globalised
and
highly
uncertain
business
environment,
it
is
necessary
to
design
a
supply
chain
that
not
only
efficient
but
also
resilient,
with
continuity
operate
meet
demand
in
the
face
of
disruption.
Aiming
at
this
problem,
two-stage
distributionally
robust
optimisation
model
based
on
data-driven
established
closed-loop
network
can
be
flexibly
executed
case
To
analyse
resilience
chain,
considers
possible
random
disruptions
two
types
facilities,
aims
deal
them
through
active
passive
strategies
such
as
supplier
fortifying,
recovery,
signing
backup
suppliers,
lateral
transshipment.
addition,
view
uncertainty
disruption
scenarios
limited
historical
data
available,
method
Wasserstein
ambiguity
set
used.
solving,
transformed
into
tractable
form
using
duality
linearisation
technology,
solved
by
Gurobi
solver.
The
numerical
results
show:
Considering
resilient
measures
effectively
mitigate
hazards;
Adding
recycling
strategy
significantly
reduce
production
costs;
Comparing
stochastic
classical
models,
performance
paper
highlighted.
Journal of Dynamics and Games,
Год журнала:
2024,
Номер
11(4), С. 399 - 421
Опубликована: Янв. 1, 2024
In
this
paper,
we
conduct
an
analysis
of
a
matrix
game
using
rough
interval
payoffs,
which
refer
to
as
the
(RIMG).
We
employ
three
methods
address
problem
at
hand:
linear
programming,
graphical
method,
and
algebraic
method.
The
proposed
approach
offers
several
key
advantages
over
existing
methods,
highlight.
introduce
algorithms
associated
with
each
mentioned
obtain
optimal
solutions
for
RIMG.
To
validate
effectiveness
our
techniques,
present
two
numerical
examples
apply
methodologies
solve
them.
conclusion,
summarize
findings
study
discuss
potential
avenues
future
research
based
on
insights
provided
in
paper.
Sustainability,
Год журнала:
2024,
Номер
16(15), С. 6705 - 6705
Опубликована: Авг. 5, 2024
In
an
era
where
sustainability
and
efficient
resource
utilization
are
paramount,
the
closed-loop
supply
chain
(CLSC)
emerges
as
a
critical
approach,
particularly
in
context
of
perishable
goods.
The
perishability
products
adds
layer
complexity
to
management,
necessitating
innovative
strategies
for
maximizing
product
life
minimizing
waste.
This
comprehensive
review
article
delves
into
integration
within
framework
CLSC.
study
thoroughly
examines
existing
research
identify
gaps
outline
future
directions.
It
emphasizes
unique
challenges
complexities
managing
goods,
crucial
but
often
overlooked
component
sustainable
practices.
highlights
balance
between
efficiency
sustainability,
underscoring
importance
reverse
logistics
circular
economy
principles
enhancing
resilience.
By
synthesizing
various
methodologies
findings,
presents
holistic
view
current
state
management
CLSCs,
offering
valuable
insights
academia
industry
practitioners.
not
only
contributes
theoretical
understanding
also
proposes
practical
approaches
their
optimization,
aligning
with
broader
goals.
