Journal of Marine Science and Engineering,
Год журнала:
2023,
Номер
12(1), С. 52 - 52
Опубликована: Дек. 25, 2023
Effective
supply-chain
risk
assessment
is
the
basis
for
developing
sustainable
supply
policies,
and
it
has
received
growing
attention
in
global
oil
system
management.
Dynamical
modeling
data-driven
are
two
main
technologies
that
have
been
applied
crude
networks.
offer
distinct
advantages
capturing
complexities
dynamics
of
system.
Considering
their
complementary
strengths,
a
hybrid
framework
combining
neural
networks
proposed
transportation
network.
Specifically,
module
to
capture
interpret
underlying
mechanisms
network,
while
deep
discover
nonlinear
patterns
dependencies
factors
from
various
inputs.
Based
on
joint
training,
model
can
ultimately
develop
capability
prediction
with
small
amount
data.
In
addition,
consider
dynamic
nature
predicted
results
level
decision-makers
make
specific
risk-mitigating
policies.
Extensive
experiments
based
China’s
scenario
conducted
demonstrate
effectiveness
model,
show
our
achieves
higher
accuracy
compared
current
state
art.
The
also
present
an
explanation
policy
change
building
resilient
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Окт. 2, 2024
Subsea
manifold
system
is
a
complex
that
occupies
pivotal
role
in
contemporary
ocean
engineering
and
has
significant
impact
on
the
safety
of
marine
resource
exploitation.
Reliability
technology
plays
ensuring
safe
operation
subsea
system.
To
perform
comprehensive
analysis
reliability
systems,
combination
method
FMECA-FFTA
(Failure
Modes,
Effects
Criticality
Analysis
-
Fuzzy
Fault
Tree
Analysis)
introduced
this
study.
Firstly,
FMECA
used
to
accomplish
qualitative
considering
multifactorial
failure
modes,
which
included
analyzing
potential
causes
failure,
evaluating
degree
hazard
through
risk
matrix
diagram.
Then,
FFTA
applied
build
fault
tree
model
divide
into
"system-subsystem-component"
determine
minimal
cut
sets
for
quantitative
reliability.
In
addition,
fuzzy
set
theory
incorporated
improve
accuracy
handling
uncertainty
analysis.
Finally,
conducted
by
using
The
modes
are
clearly
identified,
including
high-risk
such
as
external
leakage,
medium-high-risk
fail
close/lock
demand,
medium-risk
leakage
critical
location,
plugged,
effective
measures
should
be
taken
focus
preventive
protection
regular
testing
high
risk,
medium-high
medium
modes.
PLoS ONE,
Год журнала:
2025,
Номер
20(2), С. e0315936 - e0315936
Опубликована: Фев. 6, 2025
Understanding
and
mitigating
fire
risks
in
healthcare
settings
are
crucial
for
ensuring
the
safety
of
individuals,
especially
during
current
pandemic,
which
has
increased
use
oxygen-supply
equipment
potentially
raised
hazards.
This
case
study,
conducted
two
university
hospitals
Semnan,
Iran,
examined
risk
factors
facilities
using
a
developed
assessment
method.
A
total
28
wards
74
compartments
were
assessed.
Data
collection
included
topographical
structure
analysis,
building
usage
evaluation,
process
documentation
review.
The
FRAME
method,
validated
previous
studies,
was
used
to
calculate
levels
buildings,
contents,
occupants,
activities.
revealed
varying
across
different
hospitals.
Hospital
exhibited
higher
compared
B,
with
several
classified
as
"High"
or
"Very
High"
risk.
Factors
contributing
design,
occupancy
density,
presence
flammable
materials.
Occupants
certain
wards,
particularly
those
high
rates
limited
evacuation
routes,
identified
being
at
Activities
such
storage
handling
materials
also
found
contribute
elevated
specific
areas.
study
emphasizes
importance
implementing
targeted
measures,
regarding
oxygen-supplying
equipment,
high-density
ventilators,
escape
mitigate
effectively
settings.
comprehensive
can
guide
best
practices
management
Benchmarking An International Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 24, 2025
Purpose
This
article
aims
to
propose
a
model
support
the
assessment
and
prioritization
of
risk
in
manufacturing
processes.
Design/methodology/approach
The
integrates
failure
modes
effects
analysis
(FMEA)
criteria
with
evaluation
procedures
new
hesitant
fuzzy
linguistic-technique
for
Order
Preference
by
Similarity
Ideal
Solution
(HFL-TOPSIS)
variation.
A
case
study
evaluating
wiring
harness
assembly
process
demonstrated
model's
applicability.
sensitivity
was
performed
verify
effect
variation
weights
assigned
decision-makers
(DMs).
Findings
mode
(FM)
ranking
FM4
>
FM9
FM17
FM2>FM8>FM12
FM16
FM19
FM11
FM3>FM18
FM15
FM13
FM10
FM14
FM7
FM1
FM5
FM6.
These
outcomes
suggest
that
“stripping
length
less
than
specified”
top
priority
among
19
FMs
evaluated.
Sensitivity
tests
DMs’
on
FMs.
comparison
FMEA
HFL-TOPSIS
demonstrates
greater
capacity
discriminate
levels
priority,
as
it
identifies
total
compared
9
other
approaches.
Practical
implications
adoption
proposed
can
drive
substantial
improvements
management
practices
across
industries,
provided
organization
has
decision-making
team
experienced
FMEA.
Therefore,
this
approach
promotes
continuous
improvement
operations
ensures
mitigation
actions
effectively
address
critical
Originality/value
is
first
accounts
DMs'
hesitation
defining
through
linguistic
expressions.
Additionally,
addresses
uncertainty
when
assessing
opinions
considers
multiple
factors
affect
these
prioritization.
Applied Sciences,
Год журнала:
2025,
Номер
15(11), С. 6008 - 6008
Опубликована: Май 27, 2025
The
maritime
transport
of
liquefied
gases
poses
significant
safety
and
environmental
hazards
such
as
fire,
explosion,
toxic
gas
emissions,
air
pollution.
main
objective
this
study
was
to
systematically
identify,
analyze,
prioritise
the
potential
risks
associated
with
operation
tankers
using
a
hybrid
methodological
framework.
This
framework
integrates
Fuzzy
Delphi,
DEMATEL,
Fault
Tree
Analysis
(FTA)
techniques
provide
comprehensive
risk
assessment.
Initially,
20
key
factors
were
identified
through
expert
consensus
Delphi
method.
causal
relationships
between
these
then
assessed
DEMATEL
understand
their
interdependencies.
Based
on
results,
accident
probabilities
further
analyzed
FTA
modelling.
results
show
that
fires,
explosions,
large
leaks
are
most
serious
threats.
Equipment
failures—often
caused
by
corrosion
operational
errors
crew
members—are
also
contributors.
In
contrast,
cyber-related
found
be
lower
criticality.
highlights
need
for
improved
training,
rigorous
inspection
mechanisms,
implementation
robust
preventive
controls.
It
suggests
prioritisation
may
reevaluated
autonomous
ship
technologies
become
more
widespread.
By
mapping
interrelated
structure
hazards,
research
contributes
integrated
strategic
approach
management
in
LNG/LPG
shipping
industry.
Neural Computing and Applications,
Год журнала:
2024,
Номер
36(16), С. 9375 - 9404
Опубликована: Март 4, 2024
Abstract
The
innovation
process
typically
follows
a
predefined
sequence
of
phases:
idea
generation,
screening,
evaluation/selection,
development,
and
launch/diffusion.
This
exhibits
dynamic
cyclic
structure.
At
each
stage,
potential
ideas
may
undergo
elimination
or
redefinition
based
on
considerations
such
as
their
problem–solution
fit
product–market
fit.
Consequently,
the
evaluation
phase
can
be
conducted
continuously,
involving
varying
numbers
ideas.
To
address
challenges
associated
with
this
process,
systematic
approach
for
selecting
best
new
project
is
essential.
study
introduces
IF-ABAC
method,
which
extends
alternative-by-alternative
comparison-based
(ABAC)
method
to
intuitionistic
fuzzy
(IF)
environment.
proposed
represents
first
combination
sets
ABAC
within
group
decision-making
employed
during
phase,
best–worst
determining
criteria
weights.
describes
how
adeptly
manages
changes
in
set
alternatives
after
decision
addressing
dynamics
inherent
environments.
further
includes
an
analysis
innovative
business
real
case
from
Turkey,
demonstrating
feasibility
efficiency
approach.
A
comprehensive
sensitivity
illustrate
stability
utility
method.
Finally,
results
are
compared
three
other
IF-based
multi-criteria
methods
literature.
concludes
by
asserting
that
provides
practical
select
environment
uncertainty
complexity.
