Journal of theoretical and applied electronic commerce research,
Journal Year:
2024,
Volume and Issue:
20(1), P. 3 - 3
Published: Dec. 27, 2024
Motivated
by
the
collaboration
of
a
takeout
platform
and
crowdsourced
delivery
platform,
we
developed
stylized
model
to
explore
interplay
between
two
platforms’
decisions.
We
captured
cross-platform
network
effects
complementary
platforms,
investigated
how
platforms
shapes
optimal
prices,
profits,
social
welfare.
found
that
optimally
adopts
subsidy
pricing
strategy
when
its
commission
rate
is
relatively
high.
In
addition,
demand-side
effect
coefficient
increases,
raises
shipping
fee
trigger
larger
supply
drivers.
Furthermore,
introducing
self-logistics
service
reduces
intensity
threshold.
It
also
reshapes
strategic
two-sided
increase
benefit
grows
on
one
side.
Specifically,
as
supply-side
instead
lowering
price
demand
further
drivers’
benefit,
it
under
certain
conditions.
Finally,
may
while
hurting
can
Our
results,
thus,
unveil
regime
for
validate
effectiveness
introduction
platforms.
Systems,
Journal Year:
2024,
Volume and Issue:
12(4), P. 112 - 112
Published: March 27, 2024
We
investigate
the
integration
of
several
additional
efficient
techniques
that
improve
a
solution
method
for
lifelong
multiagent
pickup-and-delivery
(MAPD)
problem
to
reduce
redundancy
in
concurrent
task
execution
and
space
usage
warehouse
map.
The
MAPD
is
an
extended
class
iterative
pathfinding
problems
where
set
shortest
collision-free
travel
paths
multiple
agents
iteratively
planned.
This
models
system
automated
warehouses
with
robot-carrier
are
allocated
tasks
generated
on
demand.
In
allocation
agents,
methods
consider
endpoints
agents’
avoid
deadlock
situations
among
due
conflict
endpoints.
Since
redundancies
found
settings
themselves
concurrency
tasks,
have
been
proposed
them
methods.
However,
there
should
be
opportunities
improvements
more
practical
As
analysis
improved
understanding
based
endpoints,
we
incrementally
integrate
experimentally
their
contributions
quality
agents.
Our
result
reveals
significant
complementary
effects
additionally
integrated
trade-offs
different
settings.
Systems,
Journal Year:
2024,
Volume and Issue:
12(5), P. 170 - 170
Published: May 10, 2024
In
this
paper,
we
study
the
dynamic
meal
delivery
routing
problem
(MDRP)
with
time-sensitive
customers.
The
multi-objective
MDRP
optimization
model
is
developed
to
maximize
customer
satisfaction
and
minimize
delay
penalty
cost
riding
cost.
To
solve
MDRP,
a
novel
waiting
strategy
proposed
divide
into
series
of
static
subproblems.
This
utilizes
decision
threshold
determine
rerouting
points
based
on
number
orders.
Meanwhile,
priority
introduced
accelerate
assignment
decisions
for
orders
from
customers
high
time
sensitivity.
For
each
subproblem,
hybrid
AGA–ALNS
algorithm
that
incorporates
adaptive
genetic
large
neighborhood
search
improve
both
global
local
capabilities
algorithm.
We
validate
performance
through
numerical
instances.
addition,
managerial
insights
are
obtained
sensitivity
analysis
experiments.
Humanities and Social Sciences Communications,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: July 27, 2024
Abstract
A
new
omni-channel
retailing
mode,
prepositioned
warehouses,
which
developed
rapidly
in
China
during
the
COVID-19
pandemic,
was
introduced,
and
a
three-level
logistics
network
optimisation
model
for
agricultural
products
presented.
This
study
takes
into
account
characteristics
of
retail
model,
combines
two
delivery
methods
vehicle
consumer
in-store
purchase,
adds
freshness
penalty
incurred
by
fresh
storage
process
warehouse,
establishes
mathematical
three-stage
warehouse
that
meets
on
basis
classical
EOQ
inventory
model.
In
this
work,
shortest
time
smallest
total
cost
are
set
as
objectives,
multi-objective
problem
is
transformed
single
objective
through
normalisation
linear
weighting
to
obtain
mixed-integer
paper
solves
problems
site
selection
merchandise
replenishment
strategies,
routes
based
data
from
real
cases.
Additionally,
sensitivity
analysis,
management
inspiration
enterprise
obtained.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: July 27, 2024
To
effectively
solve
the
reverse
logistics
distribution
problem
caused
by
increasing
number
of
scrapped
parts
in
automotive
market,
this
study
constructs
a
multi-trip
green
vehicle
routing
model
with
time
windows
comprehensively
considering
coordination
between
carbon
dioxide
emissions
and
cost
efficiency.
A
hybrid
adaptive
genetic
algorithm
is
proposed
to
problem,
featuring
innovative
improvements
nearest
neighbor
rule
based
on
minimum
cost,
strategies,
bin
packing
transfer-of-state
equation,
large-scale
neighborhood
search.
Additionally,
efficiently
obtain
location
data
for
supplier
factory
sites
network,
coordinate
extraction
method
image
recognition
technology
proposed.
Finally,
scientific
validity
verified
actual
case
data,
robust
optimization
ability
numerical
calculations
different
examples.
This
research
not
only
enriches
problems
but
also
provides
valuable
insights
industry
achieve
reduction,
efficiency
enhancement,
sustainable
development
logistics.
Advances in business strategy and competitive advantage book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 389 - 414
Published: Nov. 29, 2024
This
paper
attempts
to
investigate
how
satisfied
customers
are
with
online
meal
delivery
services
in
the
Klang
Valley,
an
industry
that
is
expanding
quickly
due
changes
consumer
behaviour
and
technological
improvements.
study
aims
examine
relationship
between
customer
satisfaction
important
elements
including
food
quality,
sales
promotion,
e-service
as
demand
for
efficiency
convenience
grows.
The
will
collect
data
from
purchasers
who
use
by
using
questionnaire
a
quantitative
research
approach.
results
shed
light
on
preferences
expectations,
which
critical
improving
level
of
streamlining
business
operations
industry.
International Journal of Production Research,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 39
Published: Dec. 16, 2024
Online
Delivery
Platforms
(ODPs)
have
revolutionised
the
delivery
of
restaurant-prepared
food.
There
is
a
need
for
systematic
identification
and
classification
problems
associated
with
real-time
operations
ODPs,
as
well
an
examination
proposed
models
to
address
these
issues.
This
article
first
review
operational
faced
by
ODPs
suggests
categorisation
all
existing
research
on
this
topic.
The
that
made
short-list
organised
based
problem
category,
modelling
approach,
solution
method,
performance
metrics.
ODP
are
grouped
into
'delivery'
'pre-delivery'
processes.
Existing
primarily
focuses
processes,
including
tasks
such
assigning,
routing,
scheduling,
dispatching
orders.
highlights
extensive
application
optimisation
machine
learning
in
modelling,
noticeable
upward
trajectory
usage
models.
Solution
methods
evolved
from
implementing
established
algorithms
heuristics
designing
novel,
problem-specific
solutions.
Consequently,
scope
metrics
used
measure
quality
optimality
has
also
expanded.
By
consolidating
relevant
research,
ensuing
discussion
enhances
current
understanding
framework.
takes
foundational
step
towards
minimising
variability
terminology.
Journal of theoretical and applied electronic commerce research,
Journal Year:
2024,
Volume and Issue:
20(1), P. 3 - 3
Published: Dec. 27, 2024
Motivated
by
the
collaboration
of
a
takeout
platform
and
crowdsourced
delivery
platform,
we
developed
stylized
model
to
explore
interplay
between
two
platforms’
decisions.
We
captured
cross-platform
network
effects
complementary
platforms,
investigated
how
platforms
shapes
optimal
prices,
profits,
social
welfare.
found
that
optimally
adopts
subsidy
pricing
strategy
when
its
commission
rate
is
relatively
high.
In
addition,
demand-side
effect
coefficient
increases,
raises
shipping
fee
trigger
larger
supply
drivers.
Furthermore,
introducing
self-logistics
service
reduces
intensity
threshold.
It
also
reshapes
strategic
two-sided
increase
benefit
grows
on
one
side.
Specifically,
as
supply-side
instead
lowering
price
demand
further
drivers’
benefit,
it
under
certain
conditions.
Finally,
may
while
hurting
can
Our
results,
thus,
unveil
regime
for
validate
effectiveness
introduction
platforms.
