International Journal of Production Research,
Journal Year:
2014,
Volume and Issue:
52(19), P. 5748 - 5763
Published: April 22, 2014
Machines
and
automated
guided
vehicles
(AGVs)
scheduling
problems
are
two
essential
issues
that
need
to
be
addressed
for
the
efficiency
of
overall
production
system.
The
purpose
this
paper
is
study
simultaneous
problem
machines
AGVs
in
a
flexible
manufacturing
system
(FMS)
since
global
optimum
cannot
reached
by
considering
each
them
individually.
In
paper,
mixed
integer
linear
programming
(MILP)
model
developed
with
objective
makespan
minimisation.
MILP
consists
following
constraint
sets:
sub-problems.
As
both
sub-problems
known
NP-hard,
heuristic
algorithm
based
on
tabu
search
(TS)
proposed
get
optimal
or
near
solution
large-size
within
reasonable
computation
time.
includes
novel
two-dimensional
representation
generation
neighbour
solutions,
which
alternately
iteratively
applied
improve
solutions.
Moreover,
an
improved
lower
bound
calculation
method
introduced
problems.
Computational
results
show
superior
performance
TS
problem.
European Journal of Operational Research,
Journal Year:
2021,
Volume and Issue:
294(2), P. 405 - 426
Published: Jan. 18, 2021
Autonomous
mobile
robots
(AMR)
are
currently
being
introduced
in
many
intralogistics
operations,
like
manufacturing,
warehousing,
cross-docks,
terminals,
and
hospitals.
Their
advanced
hardware
control
software
allow
autonomous
operations
dynamic
environments.
Compared
to
an
automated
guided
vehicle
(AGV)
system
which
a
central
unit
takes
of
scheduling,
routing,
dispatching
decisions
for
all
AGVs,
AMRs
can
communicate
negotiate
independently
with
other
resources
machines
systems
thus
decentralize
the
decision-making
process.
Decentralized
allows
react
dynamically
changes
state
environment.
These
developments
have
influenced
traditional
methods
processes
planning
control.
This
study
identifies
classifies
research
related
intralogistics.
We
provide
extended
literature
review
that
highlights
how
AMR
technological
advances
affect
decisions.
contribute
by
introducing
framework
guide
managers
process,
thereby
supporting
them
achieve
optimal
performance.
Finally,
we
propose
agenda
future
within
this
field.
