IISE Transactions,
Journal Year:
2019,
Volume and Issue:
52(6), P. 665 - 687
Published: Aug. 29, 2019
Order
picking
has
often
been
considered
as
one
of
the
most
labor-
and
time-intensive
tasks
in
warehouse
operations.
Among
various
planning
problems
that
have
to
be
solved
manual
picker-to-parts
systems,
routing
order
picker
usually
accounts
for
highest
share
total
operating
cost.
To
minimize
cost
picking,
researchers
developed
procedures
guide
through
complete
given
customer
orders.
For
some
layouts
such
chevron
warehouse,
an
optimal
algorithm
not
yet
proposed.
This
article,
therefore,
contributes
filling
this
research
gap
by
developing
policy
warehouse.
The
proposed
article
is
based
on
concept
graph
theory
utilizes
a
dynamic
programming
procedure.
In
addition,
we
propose
simple
heuristics
computational
experiments,
average
tour
lengths
resulting
from
are
compared.
Moreover,
compare
performance
conventional
two-block
under
conditions
using
obtained
algorithms.
European Journal of Operational Research,
Journal Year:
2022,
Volume and Issue:
307(2), P. 713 - 730
Published: Sept. 6, 2022
Different
retail
and
e-commerce
companies
are
facing
the
challenge
of
assembling
large
numbers
time-critical
picking
orders
that
include
both
small-line
multi-line
orders.
To
reduce
unproductive
picker
working
time
as
in
traditional
picker-to-parts
warehousing
systems,
different
solutions
proposed
literature
practice.
For
example,
a
mixed-shelves
storage
policy,
items
same
stock
keeping
unit
spread
over
several
shelves
warehouse;
or
automated
guided
vehicles
(AGVs)
used
to
transport
picked
from
area
packing
stations
instead
human
pickers.
This
is
first
paper
combine
solutions,
creating
what
we
call
AGV-assisted
systems.
We
model
new
integrated
order
batching
routing
problem
such
systems
an
extended
multi-depot
vehicle
with
three-index
two-commodity
network
flow
formulations.
Due
complexity
problem,
develop
novel
variable
neighborhood
search
algorithm
solve
more
efficiently.
test
our
methods
sizes
instances,
conclude
policy
suitable
than
usual
for
lines
(saving
up
62%
on
driving
distances
AGVs).
Our
provides
optimal
within
acceptable
computational
time.
IISE Transactions,
Journal Year:
2019,
Volume and Issue:
52(6), P. 665 - 687
Published: Aug. 29, 2019
Order
picking
has
often
been
considered
as
one
of
the
most
labor-
and
time-intensive
tasks
in
warehouse
operations.
Among
various
planning
problems
that
have
to
be
solved
manual
picker-to-parts
systems,
routing
order
picker
usually
accounts
for
highest
share
total
operating
cost.
To
minimize
cost
picking,
researchers
developed
procedures
guide
through
complete
given
customer
orders.
For
some
layouts
such
chevron
warehouse,
an
optimal
algorithm
not
yet
proposed.
This
article,
therefore,
contributes
filling
this
research
gap
by
developing
policy
warehouse.
The
proposed
article
is
based
on
concept
graph
theory
utilizes
a
dynamic
programming
procedure.
In
addition,
we
propose
simple
heuristics
computational
experiments,
average
tour
lengths
resulting
from
are
compared.
Moreover,
compare
performance
conventional
two-block
under
conditions
using
obtained
algorithms.