2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM),
Journal Year:
2023,
Volume and Issue:
unknown, P. 1542 - 1546
Published: Dec. 18, 2023
To
fast
respond
the
volatile
product
demand
in
current
fluctuant
market
environment,
this
paper
centers
on
issue
of
production
scheduling
problems
with
DeJong's
learning
effect
seru
system
(SPS).
A
rotating
mixed-integer
programming
(MIP)
model
is
constructed
for
minimizing
makespan,
and
a
hybrid
heuristic
algorithm
designed
accordingly,
which
advantages
genetic
simulated
annealing
are
integrated.
demonstrate
effectiveness
proposed
MIP
algorithm,
numerical
experiments
made
finally.
Computational
results
presented
analyzed,
sensitivity
analysis
also
to
provide
managerial
insights
SPS
managers.
Journal of Management Science and Engineering,
Journal Year:
2024,
Volume and Issue:
9(1), P. 101 - 114
Published: Jan. 1, 2024
This
paper
investigates
the
production
scheduling
problems
of
allocating
resources
and
sequencing
jobs
in
seru
system
(SPS).
As
a
new-type
manufacturing
mode
arising
from
Japanese
practices,
can
achieve
efficiency,
flexibility,
responsiveness
simultaneously.
The
environment
which
set
must
be
scheduled
over
serus
according
to
due
date
different
execution
modes
is
considered,
combination
optimization
model
provided.
Motivated
by
problem
complexity
characteristics
proposed
model,
nested
partitioning
method
(NPM)
designed
as
solution
approach.
Finally,
computational
studies
are
conducted,
practicability
proven.
Moreover,
efficiency
demonstrated
results
obtained
scenarios,
good
scalability
approach
proven
via
comparative
analysis.
Naval Research Logistics (NRL),
Journal Year:
2023,
Volume and Issue:
70(8), P. 910 - 928
Published: July 19, 2023
Abstract
Seru
production
systems
are
an
effective
way
to
respond
ever‐changing
market
demand.
This
article
focuses
on
maximizing
the
throughput
of
rotating
serus
with
nonpreemptive
stations,
where
a
worker's
operations
cannot
be
disrupted.
We
analyze
effects
unbalanced
worker
velocities
non‐value‐added
idle
times.
Through
use
dynamical
system
theories,
we
explicate
mechanism
and
dynamics
,
identify
rules
used
coordinate
workers
distribute
work
content
among
stations
achieve
highest
throughput.
These
findings
provide
practical
guidelines
for
managers
in
floor
shops
optimizing
seru
design
Additionally,
explore
chaotic
characteristics
simulate
effect
various
factors
Finally,
our
comparative
analysis
demonstrates
that
offers
viable
alternative
existing
adapt
fluctuating
Journal of Industrial and Production Engineering,
Journal Year:
2023,
Volume and Issue:
40(3), P. 205 - 222
Published: Feb. 10, 2023
As
a
flexible
and
effective
production
mode,
seru
has
been
adopted
successfully
in
electronic
industry.
In
practice,
the
processing
time
may
be
affected
by
many
stochastic
factors,
such
as
worker
absence,
shortage
of
resources,
so
on.
This
paper
focuses
on
scheduling
problems
with
time,
considers
influence
dynamic
resource
allocation,
job
deterioration,
learning
effecteffect,
setup
simultaneously
to
minimize
makespan.
A
genetic-simulated
annealing
algorithm
is
proposed,
which
simulated
procedure
constructed
re-optimize
optimal
individual
obtained
geneticthe
genetic
algorithm.
Experiment
results
validate
effectiveness
proposedthe
proposed
model
for
solving
large-scale
cases,
indicate
that
great
makespan
whichmakespan
can
help
manager
makeproduce
more
consistent
according
actual
situation.
