Journal of Turkish Operations Management,
Journal Year:
2024,
Volume and Issue:
8(2), P. 442 - 458
Published: Dec. 31, 2024
In
the
demand
management
process;
it
is
tried
to
balance
customers'
needs
with
company's
supply
possibilities.
Effective
starts
effective
stock
control
and
tracking
of
customer
orders
ends
satisfaction.
Correctly
determining
production
priorities
one
ways
increase
this
context,
a
new
approach
has
been
developed
determine
priority
needed
in
process.
A
integrated
based
on
Multi-Criteria
Decision
Making
(MCDM)
proposed
priorities.
first
stage
three-stage
approach,
alternatives
are
determined.
second
stage,
criteria
determined
depending
characteristics.
third
stage;
LBWA
(Level
Based
Weight
Assessment)
CRITIC
(The
Criteria
Importance
Through
Intercriteria
Correlation)
methods,
objective
subjective
criterion
weights
calculated
by
considering
expert
opinions
real
data.
Then,
SOWIA
(Subjective
Objective
Integrated
Approach)
method
using
weights.
literature;
few
studies
MCDM
method.
Additionally,
no
study
found
literature
which
quantitative
qualitative
methods
used
ceramic
industry.
Therefore,
thought
that
will
contribute
literature.
Yugoslav journal of operations research,
Journal Year:
2024,
Volume and Issue:
00, P. 7 - 7
Published: Jan. 1, 2024
In
this
study,
an
investigation
was
conducted
into
two
essential
aspects
of
mushroom
cultivation.
Firstly,
the
selection
best
type
fertilizer
out
ten
different
options
examined
to
optimize
growth.
The
RAM
(Root
Assessment
Method)
method
used
in
conjunction
with
five
weighting
methods
evaluate
alternatives.
research
results
revealed
most
outstanding
fertilizers
for
Next,
cultivation
mixture
six
proposed
investigated.
Using
same
and
various
methods,
a
unique
efficient
identified.
This
study
provides
valuable
information
farmers
those
interested
specific
effective
solutions
improve
growing
care
process.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(11), P. 4872 - 4872
Published: June 6, 2024
The
possible
threats
that
healthcare
waste
management
(HWM)
poses
to
the
environment
and
public
health
are
making
it
more
crucial
for
medical
facility
administrators
be
worried
about
it.
This
is
in
line
with
global
trend
towards
firms
giving
sustainability
of
a
priority.
Many
organizations,
including
World
Health
Organization
(WHO)
other
as
well
national
state
laws,
have
mandated
proper
disposal
infectious
hazardous
waste.
To
effectively
address
complex
problem
selecting
best
treatment
option
HWM,
multi-criteria
decision-making
(MCDM)
procedure
must
used.
alternative
ranking
order
method
accounting
two-step
normalization
(AROMAN)
methodology
provided
context
q-rung
orthopair
fuzzy
environment.
comprises
two
steps
based
on
criteria
importance
through
intercriteria
correlation
(CRITIC)
paradigm.
Whereas
AROMAN
uses
vector
linear
techniques
improve
accuracy
data
further
computations,
CRITIC
assesses
correlations
scores
significance
each
criterion.
from
proposed
Al5>Al4>Al3>Al1>Al2.
study’s
conclusions
indicate
recycling
(Al5)
since
lessens
trash
production,
aids
resource
recovery,
protects
Using
this
helps
decision
makers
deal
subjectivity
ambiguity
skillfully,
promotes
consistency
transparency
making,
streamlines
process
choosing
system.
Sustainable
practices
been
implemented
biomedical
industry
some
success.
technique
helpful
tool
legislators
practitioners
seeking
systems.
AIMS Mathematics,
Journal Year:
2025,
Volume and Issue:
10(1), P. 460 - 498
Published: Jan. 1, 2025
<p>Solid
waste
management
(SWM)
protects
public
health,
the
environment,
and
limited
resources
in
densely
populated
urbanized
countries
such
as
Singapore.
This
work
presents
an
advanced
framework
for
optimizing
SWM
using
mathematical
models
decision-making
techniques,
including
circular
$
q
$-rung
orthopair
fuzzy
set
(C$
$-ROFS)
data,
combined
with
Choquet
integral
(CI)
logarithmic
percentage
change-driven
objective
weighting
(LOPCOW)
methods,
enhanced
by
aggregation
operators
(AOs)
Einstein
weighted
averaging
$-ROFECIWA)
geometric
$-ROFECIWG)
operators.
By
conducting
a
systematic
evaluation,
these
methods
classified
different
alternatives
to
SWM,
evaluating
them
according
criteria
their
environmental
impact,
cost-effectiveness,
reduction
efficiency,
feasibility
of
implementation,
health
safety,
acceptance.
The
C$
$-ROFECIWA
$-ROFECIWG
perform
better
than
previous
approaches
effective
multifaceted
dynamic
scenarios.
comparison
study
demonstrates
that
integration
LOPCOW
offers
conclusions
are
more
reliable
sustainable.
conducted
Singapore
successfully
finds
most
feasible
emphasizes
possibility
implementing
environmentally
sustainable
practices
urban
environment.
research
practical
insights
policymakers
need
improve
enhance
various
environments.</p>
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Abstract
In
response
to
the
decision-making
challenges
posed
by
large-scale
information
and
complex
data
sources
in
civil
aviation
airport
site
selection,
this
paper
proposes
a
novel
method
that
integrates
group
consensus
within
framework
of
substantial
uncertainty.
The
comprises
five
key
processes:
(1)
Evaluation
process:
Based
on
constructed
multi-criteria
evaluation
system
for
q-Rung
Orthopair
Fuzzy
(q-ROF)
is
employed
represent
evaluations
from
decision
makers,
which
effectively
characterizes
uncertainty
broadens
evaluative
scope.
(2)
Clustering
A
clustering
procedure
designed
q-ROF
weight
criteria,
identifying
removing
outliers.
(3)
Consensus
reaching
Considering
characteristics
multiplicative
preference
relations,
two
adaptive
algorithms
are
developed
enhance
levels,
thereby
improving
rationality
results.
(4)
Weight
determination
Criteria
subcriteria
weights
calculated
using
weighting
approach
deviation
maximization
model,
respectively,
derived
aggregated
evaluations.
(5)
Ranking
Technique
Order
Preference
Similarity
an
Ideal
Solution
(TOPSIS)
applied,
conjunction
with
induced
integration
paradigm,
comprehensively
rank
alternative
sites.
Finally,
feasibility
effectiveness
proposed
demonstrated
through
case
study
branch
planning
specific
city.
Journal of Mathematical Sciences and Modelling,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 10, 2024
Medical
waste
risks
people
and
the
environment
because
it
can
be
infectious
contain
hazardous
substances.
For
patients
to
receive
medical
attention
recover
in
a
safe
environment,
garbage
must
disposed
of
correctly.
Improper
disposal
poses
severe
risk
society,
which
accelerate
development
various
pandemics
epidemics.
In
this
case,
should
handled
appropriately.
This
study
presents
an
integrated
multi-criteria
decision-making
method
consisting
entropy,
PIPRECIA,
MACROS
methods
based
on
interval-valued
Fermatean
fuzzy
set.
guarantee
high
safety
security
for
health
practitioners
society
through
effective
modeling
ranking
associated
with
disposal.
Five
alternatives
eight
criteria
were
determined.
According
results,
incineration
is
most
suitable
process
healthcare
waste.
The
performance
was
then
assessed
validated
using
sensitivity
analysis.
addition,
study's
findings
their
consequences
lawmakers,
businesspeople,
technologists,
are
examined.
future,
these
stakeholders
concentrate
deficiencies
provide
long-term
remedies.
