Applied Sciences,
Год журнала:
2024,
Номер
14(18), С. 8178 - 8178
Опубликована: Сен. 11, 2024
Intelligent
loading
systems
are
extensively
employed
in
coal
enterprises.
Nevertheless,
pre-loading
customer
vehicle
scheduling
predominantly
depends
on
manual
expertise.
This
frequently
results
extended
waiting
periods,
elevated
carbon
emissions,
and
reduced
satisfaction,
particularly
multi-customer
scenarios.
Therefore,
this
study
introduces
a
optimization
approach
for
an
intelligent
system.
Customer
priorities
first
identified
to
enhance
satisfaction.
Considering
various
customers
enterprise
factors,
the
model
is
established
minimize
total
cost.
The
optimal
scheme
obtained
by
using
enhanced
sparrow
search
algorithm.
validity
of
proposed
demonstrated
through
case
mining
enterprise.
show
that
cost
optimized
plan
was
79%
lower
than
traditional
plan,
which
means
significant
reduction
time,
improvement
