Artificial Intelligence and MCDA in Circular Economy: Governance Strategies and Optimization for Reverse Supply Chains of Solid Waste
Applied Sciences,
Год журнала:
2025,
Номер
15(9), С. 4758 - 4758
Опубликована: Апрель 25, 2025
The
integration
of
multi-criteria
decision
analysis
(MCDA)
and
Artificial
Intelligence
(AI)
is
revolutionizing
the
governance
reverse
supply
chains
for
solid
waste
(RSCSW)
within
a
circular
economy
framework.
However,
existing
literature
lacks
systematic
assessment
effectiveness
these
methods
compared
to
traditional
management
practices.
This
study
conducts
review
(SLR),
following
PRISMA
guidelines
P.I.C.O.
framework,
investigate
how
MCDA
AI
can
optimize
governance,
operational
efficiency,
sustainability
RSCSW.
After
collecting
1139
articles,
22
were
selected
used
analysis.
results
indicate
that
hybrid
MCDA-AI
models,
employing
techniques,
such
as
TOPSIS,
AHP,
neural
networks,
genetic
algorithms,
enhance
decision-making
automation,
reduce
costs,
improve
traceability.
Nevertheless,
regulatory
barriers
technological
challenges
still
hinder
large-scale
adoption.
proposes
an
innovative
framework
address
gaps
drive
evidence-based
public
policies.
findings
provide
policymakers
managers,
contributing
Sustainable
Development
Goals
(SDGs)
agenda
advancements
in
governance.
Язык: Английский
Cross-docking in retail: Sustainable EOQ-based models for multi-item inventory systems with imperfect quality and stockouts under carbon cap-and-trade
Cleaner Logistics and Supply Chain,
Год журнала:
2025,
Номер
unknown, С. 100221 - 100221
Опубликована: Май 1, 2025
Язык: Английский