Demonstrating a Swarm Production lifecycle: A comprehensive multi-robot simulation approach
Journal of Manufacturing Systems,
Год журнала:
2025,
Номер
79, С. 484 - 503
Опубликована: Фев. 14, 2025
Язык: Английский
Task Scheduling with Mobile Robots—A Systematic Literature Review
Robotics,
Год журнала:
2025,
Номер
14(6), С. 75 - 75
Опубликована: Май 30, 2025
The
advent
of
Industry
4.0,
driven
by
automation
and
real-time
data
analysis,
offers
significant
opportunities
to
revolutionize
manufacturing,
with
mobile
robots
playing
a
central
role
in
boosting
productivity.
In
smart
job
shops,
scheduling
tasks
involves
not
only
assigning
work
machines
but
also
managing
robot
allocation
travel
times,
thus
extending
traditional
problems
like
the
Job
Shop
Scheduling
Problem
(JSSP)
Traveling
Salesman
(TSP).
Common
solution
methods
include
heuristics,
metaheuristics,
hybrid
methods.
However,
due
complexity
these
problems,
existing
models
often
struggle
provide
efficient
optimal
solutions.
Machine
learning,
particularly
reinforcement
learning
(RL),
presents
promising
approach
from
environmental
interactions,
offering
effective
solutions
for
task
scheduling.
This
systematic
literature
review
analyzes
71
papers
published
between
2014
2024,
critically
evaluating
current
state
art
robots.
identifies
increasing
use
machine
techniques
approaches
address
more
complex
scenarios,
thanks
their
adaptability.
Despite
advancements,
challenges
remain,
including
integration
path
planning
obstacle
avoidance
problem,
which
is
crucial
making
stable
reliable
real-world
applications
scaling
larger
fleets
Язык: Английский
A Meta-Level Reference Architecture for Swarm Production Based on Holonic Arti
Опубликована: Янв. 1, 2024
A
Swarm
Production
is
a
self-organising
paradigm
adopting
reconfigurability
and
agility
principles
within
factory.
Its
potential
spans
diverse
manufacturing
applications
by
addressing
implementation
complexity
at
factory
scale.
The
self-organisation
performed
autonomous
mobile
robot
platforms
restructures
the
topology
of
workstations
on
shop
floor
to
enable
mass
personalisation
with
order-specific
production
lifecycles.
transition
between
orders
requires
specific
spatial
layouts,
schedules,
control
instances.
It
demands
rapid
reorganisation
planning
system's
logical,
functional
physical
components.
research
contribution
this
work
bridging
generic
concept
holistic
via
reference
architecture.
architecture
builds
upon
holonic
manufacturing,
Industry
4.0
IIoT
define
an
methodology
leading
decentralised,
heterarchical
cyber-physically
enabled
solution
architectures
supporting
Production.
multiform
serve
variety
stakeholders,
including
experts
from
business,
software
domains.
proposed
utilises
scientific
paradigm.
inherits
system
for
Topology
Manager
Manager,
operations.
core
Activity-Resource-Type-Instance
(ARTI)
based
digital
twin
concept,
facilitating
Production's
mechanism.
Язык: Английский