Optimization of cold chain logistics distribution path considering traffic condition and replenishment along the way
Kai Wu,
No information about this author
Zhijiang Lu,
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Bai E.
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et al.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(1), P. e0305982 - e0305982
Published: Jan. 24, 2025
Road
traffic
congestion
on
the
cold
chain
logistics
not
only
increase
cost
and
time,
but
also
creates
certain
negative
impact
national
carbon
emissions.
To
fully
utilize
resources,
this
study
has
classified
urban
road
defined
various
vehicle
delivery
speeds
with
dynamic
levels.
Simultaneously,
it
developed
products
replenishment
strategy
by
considering
route,
multi-depot
condition
even
types,
aiming
to
minimize
total
emissions,
maximizing
freshness.
achieve
this,
build
up
a
multi-objective
routing
optimization
model
designed
hybrid
algorithm
combining
large-scale
neighborhood
search
NAGA-II.
Through
computational
analysis,
effectively
overcomes
weak
local
capability
of
NAGA-II
efficiently
solves
problems.
Moreover,
under
simulated
random
conditions,
able
demonstrate
relatively
stable
planning
results
address
complex
situations.
Finally,
analyze
impacts
strategies,
multiple
depots
sensitivity
coefficients
from
objectives.
The
analysis
provides
valuable
insights
for
actual
distribution
industry.
Language: Английский
Design of multi-echelon multi-fruit supply chain network considering multi-compartment reefer trucks to ensure food security
M. Yuvaraj,
No information about this author
R. Jothi Basu,
No information about this author
B.V. Prabhu
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et al.
British Food Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 24, 2024
Purpose
The
four
pillars
of
food
security
are
availability,
accessibility,
utilization
and
stability.
In
order
to
facilitate
security,
an
attempt
is
made
design
a
fruit
supply
chain
network
(FSCN)
considering
multi-compartment
reefer
trucks
(MCRT)
reduce
total
costs.
This
in
turn
increases
affordability,
decreases
loss
which
further
helps
improving
security.
Design/methodology/approach
A
mixed
integer
non-linear
programming
(MNILP)
model
developed
minimize
the
overall
cost
MCRT
same
solved
by
heuristic
approach.
real-world
case
study
conducted
test
robustness
model.
Findings
There
considerable
saving
with
new
proposed
(MCRT).
number
used
drastically
reduced
when
dedicated
truck
replaced
MCRT.
Overall,
FSCN
not
only
improves
lowering
but
also
shows
high
impact
on
sustainability.
Since
mathematical
formulation,
can
be
applied
other
perishable
commodities
like
vegetables.
Research
limitations/implications
still
requires
more
intermediaries
added
for
practicality.
will
suitable
emerging
markets
mainly
because
sector
completely
organized.
Originality/value
one
initial
studies
context
facility
location
optimization,
specifically
focusing
inclusion
capacitated
DCs.
has
potential
assist
managers
achieving
sustainability
optimizing
decisions,
inventory
levels
movement
between
facilities.
provides
valuable
contribution
towards
sustainable
development
goal
zero
hunger
(food
security)
increasing
affordability
low-income
people.
Language: Английский
Cold Chain Distribution Route Optimization for Mixed Vehicle Types of Fresh Agricultural Products Considering Carbon Emissions: A Study Based on a Survey in China
Shuangli Pan,
No information about this author
Huiyu Liao,
No information about this author
Guijun Zheng
No information about this author
et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(18), P. 8207 - 8207
Published: Sept. 20, 2024
With
the
improvement
of
people’s
living
standards
and
widening
circulation
channels,
demand
for
fresh
agricultural
products
continues
to
increase.
The
increase
in
will
lead
an
delivery
vehicles,
costs,
carbon
emissions,
among
which
emissions
aggravate
pollution
is
not
conducive
sustainable
development.
Therefore,
it
very
important
balance
economic
environmental
benefits
distribution
products.
Based
on
analysis
characteristics
products,
this
paper
studies
optimization
cold
chain
route
considering
emission.
Firstly,
planning
was
investigated
analyzed
by
interview
method,
basis
establishing
model
objective
constraint
conditions
obtained.
Then,
taking
minimum
total
cost
including
emission
as
goal,
mixed
vehicle
types
established
electric
refrigerated
gasoline
so
on.
Genetic
algorithm
used
solve
model,
MATLAB2018b
substitute
specific
case
data
simulation
analysis.
results
show
that
increasing
consideration
can
only
reduce
but
also
To
some
extent,
research
content
provide
a
reference
enterprises
routes
Language: Английский