Buffering cash flows for H₂ flows: Does financial stability benefit to hydrogen energy transition, storage, and carbon risks?
International Journal of Hydrogen Energy,
Год журнала:
2025,
Номер
120, С. 486 - 496
Опубликована: Март 29, 2025
Язык: Английский
Stability analysis and control strategy of industry chain network from the perspective of risk transmission
Kybernetes,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 27, 2025
Purpose
Industry
chain
risk
prevails
among
node
enterprises,
seriously
affecting
the
chain’s
overall
stability.
This
study
investigates
stability
of
industry
network
from
a
transmission
perspective
to
determine
effective
control
strategies
address
potential
in
and
ensure
stable
development
network.
By
incorporating
novel
perspectives
advanced
tools,
we
propose
that
provide
scientific
decision-making
support
for
managers.
Design/methodology/approach
To
seek
more
strategies,
this
constructs
an
improved
SEIRDS
model
by
introducing
market
elimination
rate
enterprise
entry
rate.
The
divides
enterprises
into
five
states
(S,
E,
I,
R
D)
simulate
process.
Corresponding
are
then
proposed,
their
effects
under
state
analyzed
reference
management.
Findings
results
show
will
lead
eventually
converging
two
states:
risky
risk-free
Recovered
with
resilience
ultimately
become
main
group.
For
network,
adopting
targeted
can
effectively
curb
spread
risk.
Under
specific
parameters,
impact
remediation
strategy
is
superior
either
prevention
or
strategy,
thereby
ensuring
long-term
chain.
Originality/value
Considering
lag
exit
chain,
examines
different
state.
Язык: Английский
Modelo de negocios a partir de la cadena de valor industrial: Caso bioempaques de biomasa residual de cacao
Revista EIA,
Год журнала:
2024,
Номер
21(42)
Опубликована: Июль 10, 2024
En
el
actual
entorno
empresarial,
caracterizado
por
la
competitividad
y
dinamismo,
son
elementos
fundamentales
para
éxito
a
largo
plazo
capacidad
de
adaptación
e
innovación.
este
contexto,
los
modelos
negocios
bien
definidos
no
solo
actúan
como
brújulas
las
empresas
o
emprendimientos
que
buscan
rentabilidad,
también
herramientas
les
permiten
enfrentar
complejidades
del
mercado.
Aunque
se
han
propuesto
marcos
guían
construcción
estos
modelos,
lo
es
lienzo
Canvas
tradicional,
en
literatura
científica
ha
identificado
una
brecha
respecto
integración
modelo
con
específicas
industria.
Esta
situación
puede
limitar
eficacia
estrategias
comerciales
dificultar
aprovechar
al
máximo
su
potencial.
Por
ello,
propósito
estudio
abordar
esta
adaptando
metodología
permite
profunda
entre
etapas
cadena
valor
industrial
bloques
tradicional.
Para
adaptó
análisis
cruzado,
facilitó
generar
guía
práctica
creación
negocio
consideren
características
intrínsecas
negocio,
sino
particularidades
industria
operan.
aplicó
un
emprendimiento
enfocado
comercialización
bioempaques
elaborados
residuos
cacao
resultados
revelaron
relaciones
simbióticas
clave
propuesta
todos
eslabones
industrial,
así
táctica
colaboraciones
estratégicas
múltiples
garantizar
viabilidad
operativa
negocio.
Igualmente,
encontró
proporcionar
perspectivas
valiosas
planificación
estratégica
formulación
comerciales.
Optimisation of remanufacturing supply chain with dual recycling channels under improved deep reinforcement learning algorithm
International Journal of Systems Science Operations & Logistics,
Год журнала:
2024,
Номер
11(1)
Опубликована: Авг. 28, 2024
To
address
the
challenge
of
reducing
carbon
emissions
in
automotive
industry,
new
energy
vehicles
(NEVs)
have
emerged,
leading
to
an
increase
number
discarded
vehicles.
Utilising
internet
technology
for
recycling
not
only
helps
manage
and
enhance
enterprise
efficiency
but
also
meets
government
environmental
requirements.
Therefore,
this
study
explores
impact
intervention
on
green
supply
chain
dual
channels
NEVs
proposes
Improved
Multi-Objective
Deep
Reinforcement
Learning
Algorithm
(IMDRL)
handle
complex
issues.
The
study's
conclusions
include:
(1)
combination
multiple
can
reduce
costs
while
improving
return
investment
big
data.
(2)
IMDRL
algorithm
dynamically
adjust
remanufacturing
strategies
achieve
optimal
solutions.
(3)
Government
subsidies
significantly
multi-cycle
multi-objective
optimisation.
contributions
Establishing
models
online,
offline,
joint,
recycling,
providing
insights
efficient
multi-channel
recycling.
Proposing
algorithm,
which
integrates
fuzzy
optimisation,
Algorithm,
heuristic
Hybrid
(HA),
more
accurately
predict
solve
problems.
Providing
management
theories
support
establishing
chains.
Язык: Английский