Sustainability,
Journal Year:
2023,
Volume and Issue:
15(7), P. 5857 - 5857
Published: March 28, 2023
Taking
advantage
of
the
growing
production
organic
waste
for
its
conversion
to
waste-to-energy
(WtE)
also
contributes
mitigating
problems
associated
with
final
disposal,
which
is
a
global
trend
increasing
application.
This
work
presents
an
innovative
approach
identification
and
prioritization
WtE
alternatives
available
from
use
food
(FW)
present
in
municipal
solid
(MSW)
Colombian
municipality
source
separation
selective
collection:
(i)
systematic
literature
review,
allows
one
identify
alternatives;
(ii)
prospective
MIC-MAC
method
(Matrice
d’Impacts
Croisés
Multiplication
Appliqués
à
un
Classement)
allowed
selection
criteria
sub
criteria;
(iii)
analytical
hierarchical
process
(AHP)
technique
order
preference
by
similarity
ideal
solution
(TOPSIS),
ranking
selected
considering
technical,
environmental,
social
aspects.
The
technologies
identified
were
anaerobic
digestion,
gasification,
incineration,
biogas
recovery
landfills,
pyrolysis;
this
last
was
excluded
due
greater
application
potential
substrates
such
as
plastic
waste.
six
sub-criteria
prioritized
acceptability
(36%),
greenhouse
gas
emissions
mitigated
(16.17%),
MSW
reduction
(15.83%),
energy
(13.80%),
technological
maturity
(12.95%),
electrical
efficiency
(5.25%),
decreasing
preferences
digestion
(78.2%),
gasification
(47.5%),
incineration
(27.4%),
landfills
(6.6%);
latter
least
desirable
alternative
(lower
acceptance
CO2
tons
relation
other
options).
nature
study
consideration
comprehensive
management
type
large
number
(120
52
social,
59
technical)
validation
results
through
sensitivity
analysis,
us
confirm
study,
that
most
favorable
technology
treatment
FW.
Sustainable Cities and Society,
Journal Year:
2022,
Volume and Issue:
83, P. 103926 - 103926
Published: May 19, 2022
Effective
evaluation
of
cities'
and
communities'
sustainability
is
important
for
sustainable
development.
From
a
methodological
point
view,
Multi-Criteria
Decision
Analysis
(MCDA)
methods
proved
their
usability
in
the
domain.
Nevertheless,
process
building
model
classical
MCDA
paradigm
based
on
single
set
input
data.
Therefore,
it
may
lead
to
oversimplification,
especially
domain
sustainability.
Moreover,
addition
current
assessment,
also
know
dynamics
change
over
time.
this
paper
proposes
an
innovative
assessment
method
that
integrates
approach
with
variability
alternatives'
performance
measurement
called
Data
vARIability
Assessment
Technique
Order
Preference
by
Similarity
Ideal
Solution
(the
DARIA-TOPSIS
method).
This
was
used
assess
cities
communities
26
European
countries.
Time-based
analyses
conducted
using
aggregated
data
(countries),
individual
dimensions,
alternatives
our
new
approach's
usefulness,
suitability,
effectiveness
society
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(9), P. 5632 - 5632
Published: May 7, 2022
The
logistics
sector
plays
one
of
the
most
important
roles
in
supply
chain
with
aim
providing
a
fast,
flexible,
safe,
economical,
efficient,
and
environmentally
acceptable
performance
freight
transport
flows.
In
addition,
popularization
concept
circular
economy
(CE)
used
to
retain
goods,
components,
materials
at
their
highest
usability
value
all
times,
illustrates
importance
adequate
reverse
(RL)
processes.
However,
traditional
RL
is
unable
cope
requirements
modern
chains
requires
application
Industry
4.0
technologies,
which
would
make
it
more
efficient.
main
this
study
was
evaluate
applicability
various
technologies
order
point
out
applicable
ones.
To
solve
defined
problem,
novel
multi-criteria
decision
making
(MCDM)
model
by
combining
best—worst
method
(BWM)
obtain
criteria
weights,
newly
developed
comprehensive
distance-based
ranking
(COBRA)
rank
technologies.
Another
validate
established
method.
results
indicated
that
were
Internet
Things,
cloud
computing,
electronic—mobile
marketplaces.
These
will
have
significant
impact
on
development
establishment
CE
systems,
thus
bringing
about
related
positive
effects.
Symmetry,
Journal Year:
2021,
Volume and Issue:
13(10), P. 1874 - 1874
Published: Oct. 5, 2021
Decision
support
systems
(DSS)
are
currently
developing
rapidly
and
increasingly
used
in
various
fields.
More
often,
those
inseparable
from
information-based
computer
systems.
Therefore,
a
methodical
point
of
view,
the
algorithms
implemented
DSS
play
critical
role.
In
this
aspect,
multi-criteria
decision
(MCDA)
methods
widely
used.
As
research
progresses,
many
MCDA
for
objective
identification
significance
individual
criteria
models
were
developed.
paper,
an
analysis
available
weighting
is
presented.
Additionally,
authors
presented
implementation
system
that
provides
easy
accessible
weight
calculations
any
matrix
with
possibility
comparing
results
different
methods.
The
compared
using
carefully
selected
similarity
coefficients
to
emphasise
correlation
resulting
weights.
performed
shows
every
method
should
provide
distinctive
weights
considering
input
data,
emphasising
importance
choosing
correct
given
model
DSS.
Energies,
Journal Year:
2021,
Volume and Issue:
14(18), P. 5727 - 5727
Published: Sept. 11, 2021
This
paper
aims
to
present
an
innovative
approach
based
on
two
newly
developed
Multi-Criteria
Decision-Making
(MCDM)
methods:
COMET
combined
with
TOPSIS
and
SPOTIS,
which
could
be
the
basis
for
a
decision
support
system
(DSS)
in
problem
of
selecting
solar
panels.
Solar
energy
is
one
most
promising
environmentally
friendly
sources
because
enormous
potential
directly
converting
available
radiation
everywhere
into
electricity.
Furthermore,
ever-lower
prices
photovoltaic
systems
make
electricity
more
competitive
power
from
conventional
sources,
increasing
interest
panels
among
companies
households.
fact
generates
need
user-friendly,
objective,
fully
automated
DSS
multi-criteria
selection
Both
MCDM
methods
chosen
this
purpose
are
rank-reversal-free
precise.
First,
objective
entropy
weighting
method
was
applied
determining
criteria
weights.
Final
rankings
were
compared
by
ranking
correlation
coefficients:
symmetrical
rw
asymmetrical
WS.
Then
sensitivity
analysis
providing
local
weights
alternatives
performed.
The
obtained
results
prove
adequacy
practical
usefulness
presented
solving
selection.
Computer Modeling in Engineering & Sciences,
Journal Year:
2023,
Volume and Issue:
136(1), P. 955 - 979
Published: Jan. 1, 2023
Information
about
the
relative
importance
of
each
criterion
or
weights
criteria
can
have
a
significant
influence
on
ultimate
rank
alternatives.
Accordingly,
assessing
is
very
important
task
in
solving
multi-criteria
decision-making
problems.
Three
methods
are
commonly
used
for
criteria:
objective,
subjective,
and
integrated
methods.
In
this
study,
an
objective
approach
proposed
to
assess
criteria,
called
SPC
method
(Symmetry
Point
Criterion).
This
point
enriches
so
that
it
balanced
easy
implement
process
evaluation
its
decision-making.
The
methodology
systematically
presented
supported
by
detailed
calculations
related
artificial
example.
To
validate
developed
method,
we
our
numerical
example
calculated
CRITIC,
Entropy,
Standard
Deviation
MEREC
Comparative
analysis
between
these
reveals
reliable
way
determine
criteria.
Additionally,
application
evaluate
efficiency
partitioning
algorithm.
main
idea
based
following
fact:
greater
uniformity
higher
research
demonstrates
be
applied
different
