Abstract
This
paper
studies
the
problem
of
heterogeneous
electric
vehicles,
fast
chargers,
and
synchronized
jobs
that
have
time
windows
in
home
healthcare
routing
scheduling.
We
consider
a
aims
to
establish
daily
routes
schedules
for
nurses
provide
variety
services
patients
located
scattered
area.
Each
nurse
should
be
assigned
an
vehicle
(EV)
from
fleet
EVs
perform
within
working
hours.
three
different
types
terms
battery
capacity
energy
consumption.
aim
minimize
total
cost
consumption,
fixed
cost,
costs
arising
cannot
served
day.
model
as
mixed
integer
programming
formulation.
develop
hybrid
metaheuristic
based
on
greedy
random
adaptive
search
procedure
heuristic,
generate
good
quality
initial
solutions
quickly,
variable
neighborhood
algorithm
high
reasonable
time.
The
employs
set
new
advanced
efficient
procedures
designed
handle
complex
structure
problem.
Through
extensive
computational
experiments,
performance
mathematical
are
evaluated.
conduct
analyses
robustness
contribution
employing
probabilities.
analyze
impact
parameters
such
competency
requirements,
job
duration,
jobs.
World Electric Vehicle Journal,
Год журнала:
2024,
Номер
15(8), С. 375 - 375
Опубликована: Авг. 18, 2024
This
comprehensive
systematic
review
explores
the
multifaceted
impacts
of
electric
vehicle
(EV)
adoption
across
technological,
environmental,
organizational,
and
policy
dimensions.
Drawing
from
88
peer-reviewed
articles,
study
addresses
a
critical
gap
in
existing
literature,
which
often
isolates
impact
EV
without
considering
holistic
effects.
Technological
advancements
include
innovations
battery
technology
energy
storage
systems,
enhancing
performance
mitigating
range
anxiety.
The
environmental
analysis
reveals
substantial
reductions
greenhouse
gas
emissions,
with
lifecycle
assessments
showing
significant
for
EVs
compared
to
internal
combustion
engine
vehicles,
particularly
when
charged
renewable
sources.
Key
comparisons
emissions
between
mid-size
vehicles
(BEVs)
(ICEVs),
global
average
by
powertrain
under
various
scenarios.
organizational
implications
are
evident,
as
businesses
adopt
new
models
fleet
management
logistics,
leveraging
operational
efficiency
sustainability.
Policy
underscores
crucial
role
government
incentives,
regulatory
measures,
infrastructure
investments
accelerating
adoption.
identifies
future
research
areas
such
efficient
recycling
methods,
potential
on
grid
stability,
long-term
economic
implications.
offers
insights
stakeholders
aiming
foster
sustainable
transportation
achieve
climate
goals.
Operations Research Perspectives,
Год журнала:
2024,
Номер
12, С. 100303 - 100303
Опубликована: Апрель 28, 2024
The
green
vehicle
routing
problem
(GVRP)
has
been
a
prominent
topic
in
the
literature
on
logistics
and
transportation,
leading
to
extensive
research
previous
review
studies
covering
various
aspects.
Operations
seen
development
of
exact
approximation
approaches
for
different
extensions
GVRP.
This
paper
presents
an
up-to-date
thorough
GVRP
spanning
from
2016
2023,
encompassing
458
papers.
significant
contribution
lies
updated
solution
algorithms
applied
both
single-objective
multi-objective
Notably,
92.58%
papers
introduced
mathematical
model
GVRP,
with
many
researchers
adopting
mixed
integer
linear
programming
as
preferred
modeling
approach.
findings
indicate
that
metaheuristics
hybrid
are
most
employed
addressing
Among
approaches,
combination
metaheuristics-metaheuristics
is
particularly
favored
by
researchers.
Furthermore,
large
neighborhood
search
(LNS)
its
variants
(especially
adaptive
search)
emerges
widely
adopted
algorithm
These
proposed
within
metaheuristic
where
A-/LNS
often
combined
other
algorithms.
Conversely,
predominant
NSGA-II
being
frequently
algorithm.
Researchers
utilize
GAMS
CPLEX
optimization
software
solvers.
MATLAB
commonly
language
implementing
Transportation Research Part E Logistics and Transportation Review,
Год журнала:
2023,
Номер
180, С. 103335 - 103335
Опубликована: Окт. 30, 2023
Owing
to
the
high
acquisition
costs,
maintenance
expenses,
and
inadequate
charging
infrastructure
associated
with
electric
buses,
achieving
a
complete
replacement
of
diesel
buses
counterparts
in
short
term
proves
challenging.
A
substantial
number
bus
operators
currently
find
themselves
situation
where
they
must
integrate
their
existing
fleets.
Confronted
constraints
limited
range
infrastructure,
primary
concern
for
is
how
effectively
utilize
mixed
fleets
adhere
pre-established
timetables
while
maximizing
deployment
known
zero
pollution
cost-effective
travel.
Consequently,
this
paper
introduces
concept
joint
optimization
problem
vehicle
recharging
scheduling
within
operating
under
constrained
conditions.
To
tackle
issue,
integer
linear
model
formulated
optimize
coordination
schedules
activities
context
infrastructure.
By
establishing
set
feasible
activities,
queuing
at
stations
transformed
into
constraint.
Numerical
simulations
are
conducted
real
transit
network
Dalian
Economic
Development
Zone
China.
The
results
indicate
that
judicious
significantly
enhances
service
frequency
reducing
operational
costs
lines.
Notably,
proportion
total
trips
performed
by
rises
80.4%.
PLoS ONE,
Год журнала:
2025,
Номер
20(2), С. e0318765 - e0318765
Опубликована: Фев. 13, 2025
The
expansion
of
cold
chain
logistics
necessitates
a
substantial
fleet
fuel-refrigerated
trucks,
which
presents
environmental
challenges.
Electric
vehicles
(EVs)
offer
an
environmentally
friendly
solution
for
low-carbon
development
despite
the
issue
range
anxiety.
Diverging
from
conventional
two-echelon
distribution
structure,
this
paper
explores
alternative
recharging
strategies
and
introduces
innovative
scheme:
employing
fuel
in
suburban
areas
EVs
urban
central
zones.
presented
model
optimizes
economic
considerations
to
mitigate
air
pollution
reduce
dependence
on
non-renewable
energy
sources
while
providing
feasible
routes.
This
study
proposes
allocation
algorithm
enhanced
ant
colony
address
single-objective
vehicle
routing
problem
with
mixed
(2EVRPMF).
outperforms
terms
both
cost
carbon
emissions
based
numerical
experiments.
Additionally,
investigates
influence
battery
capacity
rate
under
various
recharge
strategies,
including
their
correlation
costs.
findings
can
provide
valuable
insights
decision-making
implementing
environmentally-friendly
within
industry.
European Journal of Operational Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 1, 2024
This
article
systematically
reviews
the
literature
on
adaptive
large
neighborhood
search
(ALNS)
to
gain
insights
into
operators
used
for
vehicle
routing
problems
(VRPs)
and
their
effectiveness.
The
ALNS
has
been
successfully
applied
a
variety
of
optimization
problems,
particularly
variants
VRP.
gradually
improves
an
initial
solution
by
modifying
it
using
removal
insertion
operators.
However,
relying
solely
operator
selection
is
not
advisable.
Instead,
authors
often
conduct
experiments
identify
that
improve
quality
or
remove
detrimental
ones.
process
mostly
cumbersome
due
wide
operators,
further
complicated
inconsistent
nomenclature.
objectives
this
review
are
threefold:
First,
classify
unified
terminology;
second,
analyze
performance;
third,
present
guidelines
development
analysis
algorithms
in
future
based
outcomes
performance
evaluation.
In
review,
we
network
meta-analysis
211
articles
published
between
2006
2023
have
context
VRPs.
We
employ
incomplete
pairwise
comparison
matrices,
similar
rankings
sports,
rank
57
distinct
42
ranks
them
Sequence-based
which
sequences
customers
current
solution,
found
be
most
effective.
best-performing
those
exhibit
foresight,
such
as
regret
Finally,
possible
research
directions
discussed.
International Journal of Production Research,
Год журнала:
2024,
Номер
unknown, С. 1 - 24
Опубликована: Март 11, 2024
The
enforcement
of
stringent
regulations
capping
carbon
emissions
has
prompted
city
logistics
enterprises
to
substitute
electric
vehicles
(EVs)
for
conventional
(CVs).
For
with
a
mixed
fleet
CVs
and
EVs,
this
study
investigates
the
delivery
routing
problem
road
restrictions
(DRPRR)
accessible
time
windows
bearing
weight.
We
formulate
DRPRR
as
integer
programming
model
minimise
total
operations
cost.
consists
set-up
cost
diesel
CVs,
electricity
tax
cost,
penalty
waiting
roads
be
accessible.
To
effectively
solve
model,
an
adaptive
large
neighbourhood
search
(ALNS)
algorithm
is
developed
that
tailored
destroy
repair
operators
two
alternative
solution
acceptance
criteria.
Numerical
experiments
are
conducted
validate
effectiveness
proposed
ALNS
algorithm.
In
small-scale
instances,
Metropolis
criterion
finds
best
solutions
41
48
instances
while
maintaining
deviation
less
than
2.5%
from
CPLEX
in
remaining
7
its
running
significantly
shorter
CPLEX.
large-scale
stronger
solving
ability
better
stability
benchmark
algorithms
(i.e.
GA-LS,
LNS,
threshold
criterion).
also
address
real-world
case
conduct
sensitivity
analysis
provide
useful
managerial
insights.
Specifically,
implementing
on
policy
simultaneously
more
appropriate
comprehensive
perspective
market
activity
emissions.
