International Journal of Production Research,
Год журнала:
2024,
Номер
unknown, С. 1 - 21
Опубликована: Ноя. 22, 2024
Shared
Manufacturing
(SharedM)
empowers
individuals
to
engage
in
manufacturing
via
order-driven,
resource-sharing
processes,
embodying
the
principles
of
Industry
5.0
and
a
human-centric
approach.
This
study
tackles
challenges
requirement-resource
matching
realise
Production
Planning
Scheduling
(PP&S),
stemming
from
conflicts
distribution
ownership
shared
Resources
(MRs).
We
introduce
factory-level
runtime
framework
alongside
self-organising
redundant
algorithm
based
on
sample
average
approximation
efficiently
manage
MRs
individualised
orders.
Then,
an
industrial
case
illustrates
application
modelling
requirements,
generation
final
Gantt
chart.
The
findings
demonstrate
that
proposed
factory
can
align
idle
with
personalised
consumer
demands
effectively.
paper
presents
viable
solution
for
implementing
factories
settings,
providing
valuable
insights
into
social
manufacturing,
SharedM,
novel
paradigms
focused
values.
Decision Analytics Journal,
Год журнала:
2024,
Номер
11, С. 100485 - 100485
Опубликована: Май 29, 2024
The
flexible
job
shop
scheduling
problem
(FJSSP)
is
a
complex
optimization
challenge
that
plays
crucial
role
in
enhancing
productivity
and
efficiency
modern
manufacturing
systems,
aimed
at
optimizing
the
allocation
of
jobs
to
variable
set
machines.
This
paper
introduces
an
algorithm
tackle
FJSSP
by
minimizing
makespan
total
weighted
earliness
tardiness
under
uncertainty.
hybrid
effectively
addresses
complexities
stochastic
multi-objective
integrating
equilibrium
optimizer
(EO)
as
initial
solutions
generator,
Non-dominated
sorting
genetic
II
(NSGA-II),
simulation
techniques.
algorithm's
effectiveness
validated
showcasing
specific
instances
delivering
decision
results
for
optimal
across
varying
levels
Results
reveal
consistent
superiority
managing
parameters
various
scales,
achieving
lower
improved
Pareto
front
quality
compared
existing
methods.
Particularly
notable
faster
convergence
robust
performance,
statistical
Wilcoxon
test,
which
confirms
its
reliability
efficacy
handling
dynamic
situations.
These
findings
underscore
potential
providing
flexible,
solutions.
proposed
unique
balance
exploitative
explorative
capabilities
within
framework
enables
effective
uncertainty
FJSSP,
offering
flexibility
customization
adaptable
environments.
