Logistics,
Journal Year:
2024,
Volume and Issue:
8(3), P. 90 - 90
Published: Sept. 12, 2024
Background:
Supply
chain
management
(SCM)
plays
a
fundamental
role
in
the
progress
and
success
of
organizations
has
continuously
evolved
to
better
adapt
today’s
complex
business
environments.
Consequently,
issue
supplier
evaluation
selection
(SES),
which
is
one
most
critical
decisions
SCM,
gained
special
significance
been
examined
from
various
perspectives.
The
concept
green
resilient
(gresilient)
SCM
emerged
response
recent
concerns
about
environmentally
friendly
production
operations,
as
well
organizations’
ability
cope
with
crises
disasters.
In
rapidly
growing
construction
industry,
applying
gresilient
principles
can
ensure
operations
help
overcome
future
challenges.
Methods:
This
study
focuses
on
SES
real-world
case
study,
proposing
streamlined
FUCOM
(S-FUCOM)
approach.
proposed
method
streamlines
traditional
processes
solve
decision-making
problems
deterministic
uncertain
Several
numerical
examples
are
provided
illustrate
its
applicability.
Results:
results
identify
air
emissions,
environmental
systems,
restorative
capacity
criteria.
Conclusions:
third
top
performer
based
indicators.
Finally,
sensitivity
analysis
was
conducted
across
20
scenarios,
demonstrating
that
S-FUCOM
robust
provides
stable
results.
Mathematics,
Journal Year:
2023,
Volume and Issue:
11(9), P. 2014 - 2014
Published: April 24, 2023
The
sustainable
Supplier
Evaluation
and
Selection
Order
Allocation
(SSOA)
problem
has
received
significant
attention
in
supply
chain
management
due
to
its
potential
enhance
a
company’s
performance,
improve
customer
satisfaction,
reduce
costs.
In
this
study,
an
integrated
methodology
is
proposed
address
the
SSOA
problem.
combines
multiple
techniques
handle
uncertainties
associated
with
supplier
evaluation,
including
new
ranking
method
based
on
concept
of
Radius
Gyration
(ROG)
for
interval
type-2
fuzzy
sets.
also
incorporates
both
subjective
weights
obtained
using
Simple
Multi-Attribute
Rating
Technique
(SMART)
expert
preferences,
objective
calculated
Method
Removal
Effects
Criteria
(MEREC)
determine
evaluation
criteria.
Some
criteria
development
are
used
evaluate
resulting
sets,
which
evaluated
Weighted
Aggregated
Sum
Product
Assessment
(WASPAS)
method.
ROG-based
employed
calculate
relative
scores
suppliers.
Finally,
multi-objective
decision-making
(MODM)
mathematical
model
presented
identify
suitable
suppliers
allocate
their
order
quantities.
demonstrated
shown
be
efficient
effective,
as
allows
more
accurate
performance
use
highlights
importance
sustainability
selection
allocation.
methodology’s
practicality
further
supported
by
analysis
conducted
demonstrates
ability
selection.
offers
comprehensive
approach
that
can
effectively
promote
practices
management.
Systems,
Journal Year:
2024,
Volume and Issue:
12(5), P. 155 - 155
Published: April 30, 2024
Scientific
experiments
cover
a
wide
range
of
fields—from
basic
to
applied
scientific
research.
Chemical
are
the
basis
for
cultivating
chemical
knowledge
in
and
an
important
way
cultivate
thinking
methods.
However,
due
toxicity
or
flammability
substances
experiments,
hazardous
events
often
lead
personal
injuries
environmental
damage.
Exactly
assessing
risk
factors
reducing
hazards
protect
experimenters
ensure
safety
crucial
experiments.
while
traditional
evaluation
method
cannot
consider
weight
criteria,
it
also
effectively
address
problems
through
hierarchical
analysis,
as
well
imprecise
ambiguous
information
inherent
human
cognition.
Therefore,
this
paper
proposed
approach
based
on
failure
mode
effects
analysis
(FMEA)
assess
fuzzy
environment.
The
combines
typical
analytic
hierarchy
process
(AHP),
priority
number
(RPN)
FMEA,
intuitionistic
set
(IFS)
methods
evaluate
risks
associated
with
damage
recovery
This
study
case
university
chemistry
experiment,
“preparation
hydrogels”,
validate
reasonableness
correctness
compare
its
numerical
verification
results
those
from
RPN,
AHP-RPN,
AHP-fuzzy
(AHP-FRPN)
finding
demonstrates
that
can
more
than
other
result
serves
reference
experiment
occurrences.