IEEE Access,
Journal Year:
2022,
Volume and Issue:
10, P. 86750 - 86764
Published: Jan. 1, 2022
Accurately
recognizing
potential
failures
in
the
early
stages
of
providing
products
or
services
can
prevent
loss
investment
and
time
reduce
risk
safety
hazards.
Failure
mode
effects
analysis
(FMEA)
is
a
conventional
approach
for
detecting
prioritizing
probable
product's
design
production
process.
Nevertheless,
traditional
priority
number
(RPN)
method
has
come
under
criticism
its
deficiencies.
This
paper
proposes
modified
FMEA
based
on
fuzzy
Multi-Criteria
Decision
Making
(MCDM)
techniques
to
cope
with
weaknesses
previous
methodologies
improve
primary
method.
The
concept
spherical
sets
(SFS)
utilized
address
vagueness
impreciseness
information
that
allows
experts
have
more
freedom
making
decisions
by
including
membership,
non-membership,
hesitation
sets.
Initially,
procedure
assigning
weights
RPN
criteria
implemented
SFS
step-wise
weight
assessment
ratio
(SWARA).
Then,
failure
modes
are
ranked
combined
compromise
solution
(CoCoSo)
effectiveness
practicality
suggested
illustrated
through
case
study
Manjil
wind
farm
Iran.
Results
show
model
reliable
realistic
be
prioritization
than
common
other
integrated
MCDM
approaches.
Healthcare Analytics,
Journal Year:
2023,
Volume and Issue:
4, P. 100232 - 100232
Published: July 20, 2023
Healthcare
decision-making
has
often
been
viewed
as
a
complex
multi-dimensional
problem
due
to
medical,
technological,
social,
ethical,
economic,
and
environmental
factors
along
with
multiple
conflicting
objectives
the
participation
of
different
stakeholders.
Several
multi-criteria
(MCDM)
techniques
have
successfully
deployed
resolve
this
issue,
providing
transparent,
consistent,
accurate,
timely
solutions.
This
paper
reviews
140
journal
articles
published
during
2013-2022
(available
in
Scopus
database)
on
MCDM
applications
healthcare
decision-making.
Those
are
subsequently
categorized
into
11
application
areas,
i.e.,
(a)
supply
chain
management,
(b)
medical
device
material
selection,
(c)
disease
identification
treatment,
(d)
information
system,
(e)
logistics,
(f)
operations
management
healthcare,
(g)
quality
evaluation,
(h)
risk
(i)
waste
(J)
COVID-19,
(k)
miscellaneous.
Their
contents
also
critically
analyzed
concerning
year-wise,
journal-wise,
institution-wise,
country-wise
publications,
authors'
nationality,
employed,
other
mathematical
tools
considered
for
criteria
weight
measurement
uncertainty
modeling,
relation
keywords.
The
analysis
identifies
Waste
Management
most
explored
area;
Computers
Industrial
Engineering,
Journal
Cleaner
Production,
Sustainability
popular
journals;
Shiraz
University
Medical
Sciences,
Iran,
contributing
university;
India
productive
country
respect
several
authors
co-authors;
analytic
hierarchy
process
tool.
It
would
help
professionals
understand
how
researchers
efficiently
benefits
various
solving
healthcare-related
problems.
