Journal of Engineering Research,
Год журнала:
2023,
Номер
unknown
Опубликована: Ноя. 1, 2023
The
role
of
the
recycling
supply
chain
in
managing
plastic
waste
problems
has
been
emphasized
by
both
academics
and
practitioners.
Plastic
producers
face
various
risks
associated
with
processes
that
require
proper
management
proactive
strategies
to
mitigate
negative
impacts
on
business
performance.
However,
quantitative
research
risk
factors
corresponding
mitigation
limited.
This
study
proposes
a
novel
integrated
approach
using
Stepwise
Weight
Assessment
Ratio
Analysis
(SWARA)
Quality
Function
Deployment
(QFD)
under
Fermatean
fuzzy
set
framework
fill
this
gap.
identifies
eleven
eight
through
literature
review
expert
validation.
SWARA
technique
is
employed
compute
relative
importance
weights
factors,
QFD
used
analyze
relationship
between
strategies.
proposed
applied
packaging
manufacturer
Thailand
as
case
study.
results
demonstrate
can
assist
logistics
managers
industry
making
rational
decisions
implement
Moreover,
be
other
industries
similar
way.
Smart Construction and Sustainable Cities,
Год журнала:
2024,
Номер
2(1)
Опубликована: Фев. 20, 2024
Abstract
Due
to
global
warming,
considerable
amounts
of
storm
rain
have
occurred,
causing
urban
water
logging
and
flooding.
The
efficient
scheduling
drainage
systems
among
pumping
stations
is
crucial
mitigating
flash
flooding
in
areas.
This
study
introduces
a
Multi-Level
Dynamic
Priority
Importance
Scheduling
(MDPIS)
algorithm
as
proactive
solution
for
addressing
through
the
optimization
system
discharge
capacities.
algorithm's
robustness
guaranteed
integration
multi-tier
dependency
relationships.
Additionally,
incorporation
an
importance
parameter
considered
facilitating
practical
exploration
risk
evaluation.
proposed
model
was
applied
simulate
Haining
City,
results
indicate
that
its
accuracy,
flexibility
reliability
outperform
existing
algorithms
such
fixed-priority
scheduling.
Moreover,
approach
enabled
reduction
overflow
loss
improved
efficiency
sewage
system.
method
can
improve
responses
cities
rising
problem
logging.
Water,
Год журнала:
2025,
Номер
17(9), С. 1276 - 1276
Опубликована: Апрель 25, 2025
Flash
floods
rank
among
the
most
devastating
natural
hazards,
causing
widespread
socio-economic,
environmental,
and
infrastructural
damage
globally.
Hence,
innovative
management
approaches
are
required
to
mitigate
their
increasing
frequency
intensity,
driven
by
factors
such
as
climate
change
urbanization.
Accordingly,
this
study
introduced
an
integrated
flood
assessment
approach
(IFAA)
for
sustainable
of
risks
integrating
analytical
hierarchy
process-weighted
linear
combination
(AHP-WLC)
fuzzy-ordered
weighted
averaging
(FOWA)
methods.
The
IFAA
was
applied
in
South
Khorasan
Province,
Iran,
arid
flood-prone
region.
Fifteen
controlling
factors,
including
rainfall
(RF),
slope
(SL),
land
use/land
cover
(LU/LC),
distance
rivers
(DTR),
were
processed
using
collected
data.
AHP-WLC
method
classified
region
into
susceptibility
zones:
very
low
(10.23%),
(23.14%),
moderate
(29.61%),
high
(17.54%),
(19.48%).
FOWA
technique
ensured
these
findings
introducing
optimistic
pessimistic
fuzzy
scenarios
risk.
extreme
scenario
indicated
that
98.79%
area
highly
sensitive
flooding,
while
less
than
5%
deemed
low-risk
under
conservative
scenarios.
Validation
demonstrated
its
reliability,
with
achieving
curve
(AUC)
0.83
average
accuracy
~75%
across
all
Findings
revealed
elevated
dangers
densely
populated
industrialized
areas,
particularly
northern
southern
regions,
which
influenced
proximity
rivers.
Therefore,
also
addressed
challenges
linked
development
goals
(SDGs),
SDG
13
(climate
action),
proposing
adaptive
strategies
meet
60%
targets.
This
research
can
offer
a
scalable
framework
risk
management,
providing
actionable
insights
hydrologically
vulnerable
regions
worldwide.
