Safety,
Journal Year:
2023,
Volume and Issue:
10(1), P. 4 - 4
Published: Dec. 22, 2023
This
study
aims
to
address
the
limitations
of
traditional
Failure
Mode
and
Effect
Analysis
(FMEA)
in
managing
safety
reliability
within
complex
systems
characterized
by
interdependent
critical
factors.
We
propose
an
integrated
framework
that
combines
FMEA
with
strategic
decision-making
principles
Game
Theory,
thereby
enhancing
assessment
mitigation
risks
intricate
environments.
The
novel
inclusion
Best
Worst
Method
(BWM)
Pythagorean
fuzzy
uncertain
linguistic
variables
refines
accuracy
risk
evaluation
overcoming
inherent
deficiencies
conventional
approaches.
Through
sensitivity
analysis,
framework’s
efficacy
identifying
prioritizing
failure
modes
is
empirically
validated,
guiding
development
targeted
interventions.
practical
application
our
methodology
demonstrated
a
comprehensive
healthcare
system
showcasing
its
versatility
significant
potential
improve
operational
across
various
sectors.
research
particularly
beneficial
for
engineers,
managers,
decision-makers
seeking
fortify
against
failures
their
effects.
International Journal of Hydrogen Energy,
Journal Year:
2023,
Volume and Issue:
48(54), P. 20827 - 20842
Published: March 23, 2023
The
extensive
population
growth
calls
for
substantial
studies
on
sustainable
development
in
urban
areas.
Thus,
it
is
vital
cities
to
be
resilient
new
situations
and
adequately
manage
the
changes.
Investing
renewable
green
energy,
including
high-tech
hydrogen
infrastructure,
crucial
economic
progress
preserving
environmental
quality.
However,
implementing
technology
needs
an
effective
efficient
risk
assessment
investigation
minimize
acceptable
level
or
ALARP
(As
low
as
reasonably
practicable).
present
study
proposes
advanced
decision-making
framework
of
refueling
station
leakage
by
adopting
Bow-tie
analysis
Interval-Value
Spherical
Fuzzy
Sets
properly
deal
with
subjectivity
process.
outcomes
case
illustrate
causality
stations'
undesired
events
enhance
decision-maker's
thoughts
about
management
under
uncertainty.
According
findings,
jet
fire
a
more
likely
accident
liquid
leakage.
Furthermore,
equipment
failure
has
been
recognized
most
cause
order
maintain
reliability
stations,
that
decision-makers
develop
trustworthy
safety
system
integrates
variety
mitigation
measures
asset
strategies.
Reliability Engineering & System Safety,
Journal Year:
2023,
Volume and Issue:
237, P. 109347 - 109347
Published: May 4, 2023
This
paper
proposes
a
novel
tolerance
design
method
for
robot
manipulators
to
select
the
optimal
tolerances
of
kinematic
parameters.
A
optimization
model
is
presented
minimize
failure
probability
positioning
accuracy
with
constraint
manufacturing
cost.
First,
performance
function
constructed
by
performing
differential
kinematics
and
eigen-decomposition
concepts,
which
further
combines
chi-square
approximation
numerical
integration
methodologies
calculate
reliability.
An
improved
genetic
algorithm
then
based
on
diversity
crossover
mutation
strategies
optimally
efficiently
solve
model.
The
applicability
proposed
are
validated
6-degree-of-freedom
manipulator.
comparison
existing
techniques
illustrates
that
(i)
processes
better
efficiency
in
reliability
analysis;
(ii)
obtains
combination
parameters
higher
contributes
range
selection
other
moving
parts
machinery.
International Journal of Hydrogen Energy,
Journal Year:
2023,
Volume and Issue:
51, P. 928 - 947
Published: July 11, 2023
In
recent
years,
sustainable
development
has
become
a
challenge
for
many
societies
due
to
natural
or
other
disruptive
events,
which
have
disrupted
economic,
environmental,
and
energy
infrastructure
growth.
Developing
hydrogen
is
crucial
because
of
its
numerous
benefits
over
conventional
sources.
However,
the
complexity
infrastructure,
including
production,
utilization,
storage
stages,
requires
accounting
potential
vulnerabilities.
Therefore,
resilience
needs
be
considered
along
with
development.
This
paper
proposes
decision-making
framework
evaluate
by
integrating
indicators
sustainability
contributing
factors.
A
holistic
taxonomy
performance
first
developed,
followed
qualitative
assessment
using
novel
Intuitionistic
fuzzy
Weighted
Influence
Nonlinear
Gauge
System
(IFWINGS).
The
results
highlighted
that
Regulation
legislation,
Government
preparation,
Crisis
response
budget
are
most
critical
in
understudy
infrastructure.
comparative
case
study
demonstrates
practicality,
capability,
effectiveness
proposed
approach.
suggest
model
can
used
areas.
Reliability Engineering & System Safety,
Journal Year:
2024,
Volume and Issue:
245, P. 110014 - 110014
Published: Feb. 12, 2024
This
paper
proposes
a
novel
hybrid
method
aiming
at
the
fault
prognosis
of
bearings.
A
nonlinear
health
indicator
is
first
constructed
using
Complete
Ensemble
Empirical
Mode
Decomposition
with
Adaptive
Noise
and
Kernel
Principal
Component
Analysis
to
reflect
state
bearing
accurately
convincingly.
Subsequently,
multi-domain
features
are
extracted
from
vibration
signals
Dual-Channel
Transformer
Network
Convolutional
Block
Attention
Module
applied
for
constructing
HIs
rest
Moreover,
3σ
criterion
employed
establish
condition
monitoring
interval
detect
First
Prediction
Time,
which
degradation
modeling
probabilistic
Remaining
Useful
Life
(RUL)
prediction
conducted
assistance
Wiener
process
random
effects.
The
superior
performance
proposed
prognostic
confirms
that
contributes
accurate
RUL
uncertainty
quantification.
Complex & Intelligent Systems,
Journal Year:
2023,
Volume and Issue:
9(5), P. 5527 - 5553
Published: March 24, 2023
Healthcare
tends
to
be
one
of
the
most
complicated
sectors,
and
hospitals
exist
at
core
healthcare
activities.
One
significant
elements
in
is
service
quality
level.
Moreover,
dependency
between
factors,
dynamic
features,
as
well
objective
subjective
uncertainties
involved
endure
challenges
modern
decision-making
problems.
Thus,
this
paper,
a
approach
developed
for
hospital
assessment,
using
Bayesian
copula
network
based
on
fuzzy
rough
set
within
neighborhood
operators
basis
that
deal
with
features
uncertainties.
In
model,
Network
utilized
illustrate
interrelationships
different
factors
graphically,
while
Copula
engaged
obtaining
joint
probability
distribution.
Fuzzy
theory
employed
treatment
evidence
from
decision
makers.
The
efficiency
practicality
designed
method
are
validated
by
an
analysis
real
Iran.
A
novel
framework
ranking
group
alternatives
consideration
criteria
proposed
combination
extended
technique.
uncertainty
makers'
opinions
dealt
extension
Rough
theory.
results
highlighted
has
merits
reducing
assessing
Safety,
Journal Year:
2024,
Volume and Issue:
10(2), P. 42 - 42
Published: April 26, 2024
This
study
presents
a
responsive
analysis
of
the
role
artificial
intelligence
(AI)
in
risk
management,
contrasting
traditional
approaches
with
those
augmented
by
AI
and
highlighting
challenges
opportunities
that
emerge.
AI,
intense
learning
methodologies
such
as
convolutional
neural
networks
(CNNs),
have
been
identified
pivotal
extracting
meaningful
insights
from
image
data,
form
holds
significant
potential
identifying
managing
risks
across
various
industries.
The
research
methodology
involves
strategic
selection
processing
images
for
introduces
three
case
studies
serve
benchmarks
evaluation.
These
showcase
application
place
capabilities,
to
identify
hazards,
evaluate
risks,
suggest
control
measures.
comparative
evaluation
focuses
on
accuracy,
relevance,
practicality
AI-generated
findings
alongside
system’s
response
time
comprehensive
understanding
context.
Results
reveal
can
significantly
enhance
assessment
processes,
offering
rapid
detailed
insights.
However,
also
recognises
intrinsic
limitations
contextual
interpretation,
advocating
synergy
between
technological
domain-specific
expertise.
conclusion
underscores
transformative
supporting
continued
further
integrate
effectively
into
frameworks.
