Strategies
for
recycling
spent
electric
vehicle
(EV)
batteries
offer
the
possibility
of
a
sustainable
supply
such
metals.
In
this
research,
we
address
decision
making
EV
battery
reverse
chain
based
on
risk
aversion.
The
channel,
consisting
collector
and
recycler,
resembles
Stackelberg
decision-making
game,
where
latter
is
leader
with
sufficient
channel
power
over
former.
As
faces
great
uncertainty
recycled
metal
prices,
leader,
i.e.,
averse.
Taking
into
account
refined
metals'
prices
attitude
develop
analytical
models
to
analyze
optimal
decisions
members.
are
validated
using
case-based
real
data
collected
from
an
recycler
in
Shenzhen,
China.
Our
study
shows
that
progressive
transfer
price
scheme
returned
between
can
motivate
achieve
same
return
rate
as
centrally
coordinated
channel.
We
also
show
degree
aversion
volatility
major
metals
affect
well
profits
Insights
policy
makers
discussed.
practice,
Decision
Support
System
(DSS)
has
been
developed
company
by
implementing
pricing
scheme.
Studies in Nonlinear Dynamics and Econometrics,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 26, 2025
Abstract
At
present,
many
electric
vehicle
(EV)
companies
consider
the
adoption
of
a
battery
leasing
model
as
part
their
sales
strategy,
addressing
issue
higher
prices
for
energy
vehicles
(EVs)
compared
to
internal
combustion
engine
(ICEVs)
same
level.
In
order
enhance
development
in
EV
market,
this
research
explores
pricing
strategies
within
supply
chain
operating
under
“battery
+
echelon
utilization”
model.
Both
Stackelberg
and
dynamic
system
are
proposed
with
consideration
utilization.
We
investigate
how
utilization
rate,
quality,
recycling
price
influence
decisions
both
manufacturers
companies.
These
insights
offer
guidance
these
entities
formulating
appropriate
strategies.
Introducing
long-term
repeated
game
model,
we
analyze
stability
chaos
conditions,
finding
from
discloses
different
behaviors
impact
profitability
all
parties
involved.
Furthermore,
propose
control
method.
Our
findings
provide
valuable
managerial
IEEE Access,
Год журнала:
2023,
Номер
11, С. 75929 - 75944
Опубликована: Янв. 1, 2023
As
the
global
pursuit
of
carbon
neutrality
has
intensified,
influence
emission
limits
on
supply
chain
become
increasingly
evident.
The
purpose
this
study
is
to
investigate
optimal
financing
options
under
reduction
percentage
measure
and
provide
recommendations
for
carbon-emitting
enterprises.
This
focuses
a
consisting
capital-constrained
manufacturer
capital-rich
retailer.
Under
measure,
we
use
Stackelberg
game
theory
determine
manufacturer's
retailer's
decisions
bank
financing,
zero-interest
early
payment
in-house
factoring
financing.
Finally,
find
U-shaped
relationship
between
price
sensitivity
commodities
(manufacturer's)
profit.
impact
chains'
follows
quadratic
pattern.
Carbon
trading
prices
exhibit
monotonic
equilibrium
chain.
When
emissions
do
not
exceed
standards,
internal
becomes
more
favorable
as
increases.
Conversely,
when
external
prevalent
findings
assist
managers
in
selecting
method
confronted
with
limitations.
These
conclusions
contribute
development
targeted
measures
promotion
green
chains.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Июль 2, 2024
Abstract
This
paper
examines
the
use
of
blockchain
technology
in
power
battery
echelon
recycling.
The
helps
to
improve
capacity
identification
and
market
transaction
trust.
study
focuses
on
manufacturers
recycling
participants.
Two
modes
are
constructed
using
Stackelberg
game
method,
optimal
decision-making
participating
subjects
two
under
embedding
is
compared.
influence
each
parameter
analyzed.
research
findings
indicate
that
degree
integration
rises
as
preference
coefficient
for
traceability
information
increases.
When
competition
intense
sensitivity
prices
low,
model
number
spent
batteries
(SPBs)
be
recycled
which
utilizers
do
not
participate
if
level
cost
optimization
embedded
high,
otherwise,
it
profit
decreases
with
increase
intensity
competition,
manufacturers.
