Sustainability,
Journal Year:
2024,
Volume and Issue:
16(4), P. 1388 - 1388
Published: Feb. 6, 2024
With
the
tremendous
development
of
logistics
industry,
global
market
automated
warehousing
has
been
growing
rapidly.
Meanwhile,
industry
shows
drawbacks,
such
as
low
storage
capacity
and
poor
efficiency.
By
comparing
analyzing
shuttle-based
retrieval
system
(SBS/RS),
miniload
(AS/RS),
KIVA
system,
a
novel
efficient
parts-to-picker
approach
in
flexible
systems
is
proposed.
Among
them,
buffer
racks
access
racks,
associated
with
mobile
robots
(AMRs)
stackers
are
used.
The
results
show
that
compared
other
(such
system),
this
provides
significant
increase
(more
than
three
times),
picking
efficiency
also
very
high
at
various
layout
scales,
where
no
less
when
number
AMRs
reaches
max.
suitable
for
small-,
medium-,
large-scale
warehouses
terms
showing
producing
excellent
space
utilization.
More
importantly,
can
easily
compete
its
traditional
counterparts
by
using
density
without
much
cost.
This
sustainable
improvement
realizes
utilization
spatial
resources
important
support
construction
green
supply
chains.
IEEE Internet of Things Journal,
Journal Year:
2024,
Volume and Issue:
11(9), P. 16314 - 16324
Published: March 22, 2024
With
the
development
of
robotics
and
Internet
Things,
robot-assisted
goods-to-person
order
picking
systems
become
popular
in
smart
warehouses.
Order
such
is
a
human-robot
collaborative
process,
where
robots
carry
pods
to
station
with
human
pickers
who
pick
demanded
goods
from
them
fulfill
orders.
In
it,
pod
selection,
robot
scheduling,
manual
are
highly
coupled
together
influence
efficiency
picking.
Their
joint
optimization
key
enhancing
operational
but
rarely
studied
existing
work.
fill
research
gap
meet
high
market
demand,
this
work
focuses
on
novel
problem.
A
mixed
integer
program
formulated
model
it
provide
an
exact
solution
method
for
small-scale
instances.
To
large-scale
problems
efficient
solutions
practical
application
scenarios,
we
propose
adaptive
large-neighborhood-based
tabu
search
algorithm.
Specifically,
large
neighborhood
designed
embedded
into
algorithm
two
mechanisms.
Experimental
results
indicate
that
presented
has
significant
advantages
solving
newly
proposed
It
substantially
outperforms:
1)
independent
use
or
search,
2)
Gurobi
subject
hour
execution
time,
3)
several
competitive
benchmark
newest
well-performing
algorithms.
Its
performance
implies
its
great
potential
Internet-of-Things-enabled
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 37623 - 37636
Published: Jan. 1, 2023
Robotic
Process
Automation
(RPA),
which
automates
repetitive,
rule-based
operations,
is
becoming
a
crucial
component
of
today's
enterprises
as
they
compete
in
more
dynamic
business
contexts.
This
study
intends
to
provide
implications
on
the
Benefits
Realization
Key
Success
Factors
(BRKSFs)
appropriate
for
RPA
projects,
given
that
between
30%
and
50%
initiatives
fail.
The
methodology
this
comprises
three
stages:
identify
main
contributing
BRKSFs,
develop
hierarchical
relationship
model
real-world
examples
show
usability
BRKSFs
using
two
case
studies.
results
having
clear,
well-defined,
unchanging
process
most
important
BRKSF
because
its
strong
influence
over
other
factors.
Three
factors,
namely,
aligning
objective
initiative
with
organization's
strategic
objectives,
choosing
right
automation,
change
management,
have
lower
driving
powers
but
high
dependence
than
five
factors
both
are:
prioritizing
benefits
can
be
obtained
through
initiative,
performing
feasibility
study,
assembling
cross-functional
team,
team
leader
receiving
support
from
top
management.
sheds
light
interdependencies
academics
professionals,
enabling
them
determine
variables
need
considered
initiatives.
IEEE Transactions on Instrumentation and Measurement,
Journal Year:
2022,
Volume and Issue:
72, P. 1 - 11
Published: Dec. 8, 2022
Timely
and
accurate
fault
diagnosis
plays
a
critical
role
in
today's
smart
manufacturing
practices,
saving
invaluable
time
expenditure
on
maintenance
process.
To
date,
numerous
data-driven
approaches
have
been
introduced
for
equipment
diagnosis,
part
of
them
attempt
to
involve
knowledge
their
models.
However,
those
combinations
mainly
concentrate
feature
engineering
superposition
separate
results
without
considering
or
leveraging
the
relationship
between
collecting
sensor
data.
fill
this
gap,
research
proposes
residual-hypergraph
convolution
network
(Res-HGCN)
approach
that
holistically
embeds
equipment's
structure
operational
mechanisms
as
hypergraph
form
into
model,
reaction
among
components.
The
generic
model-based
construction
framework
is
first
introduced,
which
represents
synergetic
mechanism
complex
equipment.
Then,
multisensory
Res-HGCN
approach,
combining
residual
block
(HGCN),
presented
based
predefined
hypergraph.
Lastly,
case
study
turbofan
engine
conducted
compared
with
other
typical
methods
reveal
superiority
proposed
approach.
This
work
establishes
association
different
sensing
variables
through
mechanisms,
thus
integrating
advantages
data-driven-based
holistically.
It
envisioned
can
provide
insightful
many
integrated
scenarios.
Procedia Computer Science,
Journal Year:
2024,
Volume and Issue:
232, P. 2790 - 2799
Published: Jan. 1, 2024
Warehouse
design
and
planning
involve
complex
decisions
on
receiving,
storage,
order
picking
shipping
products
(i.e.,
stock-keeping
units
-
SKUs)
can
affect
the
performance
of
entire
supply
chains.
With
advancement
Industry
4.0
increased
data
availability,
high-computing
power,
ample
storage
capacity,
Machine
Learning
(ML)
has
become
an
appealing
technology
to
address
warehouse
challenges
such
as
Storage
Location
Assignment
Problems
(SLAP)
Order
Picking
(OPP)
for
intelligent
warehousing
management.
This
paper
presents
a
state-of-the-art
review
ML
applied
Management
Systems
(WMS)
through
analysis
recent
research
application
articles.
A
mapping
classify
scientific
literature
in
this
new
area,
including
methods,
algorithms,
sources
use
cases
ML-aided
WMS,
well
further
perspectives
challenges,
are
introduced.
Preliminary
results
suggest
that
possible
areas
ML-WMS
still
incipient
need
be
explored.
