Algorithms,
Год журнала:
2024,
Номер
17(12), С. 540 - 540
Опубликована: Ноя. 28, 2024
The
generalized
quadratic
assignment
problem
(GQAP)
involves
assigning
a
set
of
facilities
to
locations
such
that
the
sum
and
transportation
costs
is
minimized.
Unlike
traditional
one-to-one
problem,
GQAP
many-to-one
problem.
That
is,
multiple
can
be
assigned
each
location
without
exceeding
capacity
location.
This
research
was
motivated
by
(e.g.,
machines
or
equipment)
at
manufacturing
plants.
Another
well-known
application
includes
(i.e.,
containers)
storage
areas)
in
container
yards.
paper
presents
simple
but
very
effective
approximation
algorithms
for
solving
real-world,
large-size
instances
quickly
spending
lot
time
setting
algorithm
parameters,
since
there
are
few
parameters
set.
More
specifically,
construction
used
generate
an
initial
solution
proposed
improved
using
simulated
annealing
algorithm.
performance
tested
with
respect
quality
computation
on
test
problems
available
literature.
results
show
effectiveness
algorithms.
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
International Journal of Production Research,
Год журнала:
2024,
Номер
unknown, С. 1 - 25
Опубликована: Май 19, 2024
Cold
chain
logistics
networks
represent
intricate
systems
that
require
harmonisation
of
their
influence
on
the
economy,
environment,
and
society.
However,
simultaneously
achieving
these
goals
is
hard.
This
paper
defined
a
comprehensive
model
aiming
to
achieve
tradeoff
related
cost
efficiency,
product
quality,
delivery
timeliness,
environmental
impacts.
Meanwhile,
influences
ambient
temperature,
path
flexibility,
hybrid
fleet
proposed
dual-mode
location-routing
problem-based
cold
(DMLRPCCL)
are
analyzed.
A
meticulously
crafted
hyper-heuristic
framework
employing
Q-learning
has
been
developed
address
complexity
chains
obtain
high-quality
solutions.
The
numerical
study
shown
can
analyze
various
scenarios
for
perishable
products
evaluate
impact
cost,
emissions,
quality.
algorithm
efficient
effective
in
competitive
results
compared
three
tailored
algorithms.
Extensive
analyses
performed
empirically
assess
effect
fleet,
temperature
DMLRPCCL
planning.
Several
managerial
insights
presented.
Operations and Supply Chain Management An International Journal,
Год журнала:
2024,
Номер
unknown, С. 206 - 219
Опубликована: Июнь 27, 2024
Supply
chain
management
includes
strategic,
tactical,
and
operational
decisions
for
long,
medium,
short-term
planning.Strategic
decisions,
such
as
network
design,
last-mile
routing,
have
mutual
implications.Therefore,
modelling
them
separately
can
lead
to
sub-optimal
solutions.The
integrated
of
these
has
been
addressed
a
location
routing
problem
(LRP).This
paper
aims
identify
the
solution
strategies
methods
solve
LRP,
well
related
challenges
research
opportunities
based
on
critical
literature
review.The
findings
reveal
that
46%
reviewed
publications
adopted
multistage
approach
address
sequentially
tackling
strategic
decisions.Moreover,
in
addition
challenge
diverse
decision
levels,
LRP
models
need
incorporate
variables
time
windows,
delivery
failure
rates,
demand
density,
etc.Five
are
proposed:
i)
first
last
mile
with
when
making
ii)
integrating
environmental
social
objectives
into
framework,
iii)
applying
algorithms
complex
real-world
cases,
iv)
exploring
competitive
cooperative
v)
evaluating
use
emerging
technologies.
