Systematic analysis and optimization of operational delay factors in port supply chains using a hybrid DEMATEL-OPA-DGRA approach
Negar Karimi,
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Ehsan Javanmardi,
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Ahmadreza Nadaffard
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et al.
Ocean & Coastal Management,
Journal Year:
2025,
Volume and Issue:
263, P. 107620 - 107620
Published: March 8, 2025
Language: Английский
Blockchain-Enabled Supply Chain Management: A Review of Security, Traceability, and Data Integrity Amid the Evolving Systemic Demand
O. Karaduman,
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Gülsena Gülhas
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Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(9), P. 5168 - 5168
Published: May 6, 2025
As
supply
chains
become
increasingly
digitized
and
decentralized,
ensuring
security,
traceability,
data
integrity
has
emerged
as
a
critical
concern.
Blockchain
technology
shown
significant
potential
to
address
these
challenges
by
providing
immutable
records,
transparent
flows,
tamper-resistant
transaction
logs.
However,
the
effective
application
of
blockchain
in
real-world
requires
careful
evaluation
both
architectural
design
technical
limitations,
including
scalability,
interoperability,
privacy.
This
review
systematically
examines
existing
blockchain-based
chain
solutions,
classifying
them
based
on
their
structural
models,
cryptographic
foundations,
storage
strategies.
Special
attention
is
also
given
underexplored
humanitarian
logistics
scenarios.
It
introduces
three-dimensional
framework
assess
across
different
approaches.
In
doing
so,
it
explores
key
technological
enablers,
advanced
mechanisms
such
zero-knowledge
proofs
(ZKPs)
cross-chain
architectures,
meet
evolving
privacy
interoperability
demands.
Furthermore,
this
study
outlines
conceptual
interaction
scenario
involving
permissioned
permissionless
networks,
connected
through
bridge
mechanism
supported
representative
smart
contract
logic.
The
model
illustrates
how
decentralized
stakeholders
can
interact
securely
heterogeneous
platforms.
By
integrating
quantitative
metrics,
simulations,
qualitative
analyses,
paper
contributes
deeper
understanding
blockchain’s
role
next-generation
chains,
offering
guidance
for
researchers
practitioners
aiming
resilient
trustworthy
management
(SCM)
systems.
Language: Английский
Modelling Sustainable Port Operations: Balancing Inputs and Outputs with the Cobb–Douglas Function
Journal of Marine Science and Engineering,
Journal Year:
2024,
Volume and Issue:
12(12), P. 2285 - 2285
Published: Dec. 12, 2024
This
research
presents
a
comprehensive
analysis
of
sustainable
port
operations
in
two
countries,
utilizing
econometric
models,
including
the
stochastic
frontier
and
Cobb–Douglas
to
examine
critical
elements
such
as
number
empty
containers
vessel
traffic.
These
factors,
driven
by
globalization,
significantly
impact
environmental
social
dynamics
within
operations.
By
integrating
these
this
study
assesses
efficiency
sustainability,
addressing
methodological
gaps
existing
research,
particularly
quantification
generalization
CO2
emissions.
Findings
indicate
that,
despite
differences
management
operations,
levels
can
be
estimated
using
operational
variables
without
need
for
complete
traceability
throughout
logistics
chain.
concludes
emphasizing
importance
incorporating
international
standards
into
recommends
use
models
tools
assessing
managing
sustainability
effectively.
Language: Английский
Unveiling the Contemporary Research Direction and Current Business Management Strategies for Port Decarbonization Through a Systematic Review
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(24), P. 10959 - 10959
Published: Dec. 13, 2024
Port
decarbonization
is
becoming
an
increasingly
critical
focus
in
the
maritime
industry.
It
facilitates
prioritizing
compliance
with
latest
regulatory
updates
introduced
by
International
Maritime
Organization,
European
Union,
and
national
governments.
also
seen
as
a
key
element
to
tackling
climate
change
challenges.
Hence,
it
essential
comprehend
recent
developments
port
research
address
sustainability
requirements
of
This
article
reveals
directions
current
industrial
practices
response
employing
holistic
view
literature.
The
methodology
this
uses
detailed
qualitative
approach
framework
conduct
in-depth
analysis
contemporary
publications.
In
study,
75
publications
literature
are
examined
using
systematic
review,
thematic
analysis,
content
analysis.
findings
study
suggest
significant
emphasis
on
innovative
technologies
collaborative
strategies
for
achieving
goals.
Another
important
contribution
identification
barriers
facilitators
implementation
at
ports.
encompasses
future
identifying
existing
themes,
contents,
gaps
anticipated
that
outcomes
will
shed
light
main
motivations
policymaking
field
decarbonization.
Language: Английский
Evaluating manufacturing plants readiness for distributed ledger technology: a network framework for ambiguity levels
International Journal of Systems Science Operations & Logistics,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Nov. 13, 2024
The
utilisation
of
blockchain
technology
has
gained
significant
traction
within
contemporary
supply
chains
owing
to
its
ability
enhance
transparency,
security,
and
traceability.
Manufacturing
plants,
as
pivotal
components
the
chain,
stand
benefit
from
improved
tracking
transparency
goods
movement,
real-time
visibility,
quality
control
processes,
adherence
industry
standards
through
implementation.
Nonetheless,
without
a
comprehensive
assessment
manufacturing
plants'
readiness
embrace
technology,
anticipated
benefits
may
give
way
unforeseen
challenges.
In
this
study,
novel
network
framework
is
offered
evaluate
for
adopting
distributed
ledger
specifically
blockchain,
under
varying
levels
ambiguity,
including
high
(fuzzy)
low
(scenario)
ambiguity.
This
distinguished
by
address
uncertainty
in
evaluations,
incorporating
both
scenario-based
fuzzy
programming
approaches.
Furthermore,
treats
evaluation
criteria
interconnected
entities,
fostering
perspective
rather
than
black-box
approach.
proposed
then
validated
case
study
involving
five
plants
twenty-four
criteria.
Our
findings
underscore
role
considerations
ranking
with
fifth
plant
emerging
frontrunner
across
assessments
most
instances.
Language: Английский