International Journal of General Systems,
Год журнала:
2024,
Номер
53(7-8), С. 863 - 897
Опубликована: Март 15, 2024
Distributed
manufacturing
scheduling
problems
have
attracted
much
concern
from
both
industrial
and
academic
areas.
Nevertheless,
distributed
with
distribution
operations
are
seldom
studied.
This
work
proposes
a
flexible
job
shop
problem
operations.
A
set
of
jobs
is
handled
at
shops,
then
the
finished
transported
to
their
corresponding
customers
following
given
due
dates.
First,
mixed
integer
programming
model
established
minimize
total
tardiness.
Second,
an
ensemble
brain
storm
optimization
Q-learning
methods
developed
solve
formulated
model.
Six
heuristics
hybridized
generate
high-quality
initial
population.
method
devised
by
fully
employing
found
search
information
guide
subsequent
processes
instead
using
fixed
parameters
as
basic
optimization.
variable
neighborhood
combining
problem-specific
knowledge
designed
further
refine
best
individual.
At
last,
compared
three
state-of-the-art
metaheuristics
mathematical
solver
CPLEX
via
group
instances.
The
results
analysis
demonstrate
that
algorithm
more
powerful
competitiveness
in
addressing
studied
problem.
