AIMS Mathematics,
Год журнала:
2023,
Номер
9(1), С. 1443 - 1471
Опубликована: Янв. 1, 2023
<abstract><p>The
paper
presents
an
iterative
scheme
called
the
general
tensor
regular
splitting
(GTRS)
method
for
solving
multilinear
PageRank
problem,
which
is
based
on
a
(weak)
technique
and
further
accelerates
process
by
introducing
parameter.
The
yields
familiar
schemes
through
use
of
specific
strategies,
including
fixed-point,
inner-outer,
Jacobi,
Gauss-Seidel
successive
overrelaxation
methods.
analyzes
convergence
these
solvers
in
detail.
Numerical
results
are
provided
to
demonstrate
effectiveness
proposed
problem.</p></abstract>
Information Fusion,
Год журнала:
2023,
Номер
93, С. 396 - 411
Опубликована: Янв. 13, 2023
Failure
mode
and
effect
analysis
(FMEA)
is
one
of
the
most
powerful
reliability
techniques
for
identifying
preventing
potential
risks
across
various
fields.
Current
FMEA
methods,
while
effective,
still
present
several
shortcomings.
For
example,
using
experts’
subjective
pairwise
comparisons
risk
factors
to
determine
their
weights
reduces
stability
result;
different
relationships
among
failure
modes
are
often
ignored.
To
improve
performance
FMEA,
multi-criteria
decision-making
(MCDM)
methods
have
been
employed
support
evaluation
prioritization
in
recent
years.
This
paper
proposes
a
novel
method
by
exploring
MCDM
techniques.
First,
Extended
Comparative
Linguistic
Expressions
with
Symbolic
Translation
(ELICIT)
utilized
generate
group
assessments
under
uncertainty.
Then,
grey
relation
(GRA)
incorporated
into
trial
laboratory
(DEMATEL)
objectively
weight
factors.
Afterward,
traditional
ORESTE
(organísation,
rangement
et
Synthèse
de
données
relarionnelles
(in
French))
generalized
ELICIT
environment
prioritize
modes,
which
Besson’s
ranking
replaced
deviation
measure
more
accurate
results.
Finally,
case
study
electro-mechanical
actuators
presented
illustrate
effectiveness
proposed
method.
The
results
indicate
that
our
approach
can
express
information
flexibly,
objectively,
reasonably.
Quality and Reliability Engineering International,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 20, 2025
ABSTRACT
Failure
mode
effect
analysis
(FMEA)
is
a
powerful
reliability
tool
for
identifying
and
eliminating
potential
risks
in
complex
electromechanical
systems
(CESs).
However,
due
to
the
uncertainty
of
decision‐making
environment,
processing
heterogeneous
risk
information
becomes
challenge.
In
addition,
consensus
evaluation
subjects
(ESs)
interaction
failure
modes
(FMs)
often
easily
overlooked.
To
address
these
challenges,
we
propose
an
improved
FMEA
method
environment
based
on
personalized
consensus.
First,
house
(H‐HoR)
proposed
identify
multi‐source
information.
Second,
model
D‐S
evidence
theory
adjust
opinions
different
acceptability
individually.
Meanwhile,
adaptive
ES
weight
determination
individual
characteristics
maximum
proposed.
Then,
avoid
loss,
hybrid
ELimination
Et
Choix
Traduisant
la
REalité
(ELECTRE)
with
Vlsekriterijumska
Optimizacija
I
Kompromisno
Resenje
(VIKOR)
rank
FMs
environments.
Furthermore,
extended
K‐shell
method,
aspects
strength
community
relationships
considered
obtain
more
accurate
ranking
results.
Finally,
effectiveness
practicality
can
be
verified
from
case
offshore
wind
turbine
transmission
system.
This
research
has
excellent
accuracy
superiority
expected
support
integrated
system
reliability.
International Journal of Quality & Reliability Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 21, 2025
Purpose
This
paper
aims
to
provide
a
systematic
review
of
failure
mode
and
effects
analysis
(FMEA)
research,
focusing
on
the
various
methods
proposed
enhance
traditional
FMEA
method.
The
study
addresses
limitations
risk
priority
number
(RPN)
method
identifies
gaps
in
existing
literature.
Design/methodology/approach
A
was
conducted
wide
range
studies
published
between
2004
2024.
reviewed
papers
were
categorized
based
employed
address
shortcomings
conventional
approach.
focused
most
frequently
cited
flaws,
modern
tools
technologies
used,
these
approaches.
Findings
highlights
prominent
flaws
FMEA,
commonly
used
approaches
that
have
been
integrated
into
improve
its
effectiveness
overcome
issues.
Additionally,
it
newer
research
remain,
provides
insights
strengths
weaknesses
methods.
Originality/value
contributes
field
by
offering
structured
which
has
not
comprehensively
addressed
prior
By
synthesizing
findings
numerous
studies,
this
clear
direction
for
future
addressing
RPN
model.
IEEE Transactions on Engineering Management,
Год журнала:
2024,
Номер
71, С. 10783 - 10796
Опубликована: Янв. 1, 2024
Failure
mode
and
effect
analysis
(FMEA)
method
has
been
widely
utilized
to
solve
the
problem
of
risk
assessment
in
all
walks
life.
An
FMEA
decision
support
model
considering
expert
clustering
attitude
is
constructed.
First,
information
processed
cloud
environment.
The
behavior
experts
simulated
based
on
trust
relationship,
opinion
similarity
similarity.
Second,
consensus
opinions
are
formed
through
evolution,
group
weight
determination
constructed
size
level.
Finally,
a
linear
programming
minimizing
individual
regret
used
factor
problem.
Combined
with
theory
TODIM
finite
rationality,
priority
determined.
novel
approach
applied
address
reliability
management
smart
bracelets.
Sensitivity
comparative
analyses
demonstrated
effectiveness
superiority
this
enrich
theoretical
research
approach.
