A knowledge graph-based intelligent planning method for remanufacturing processes of used parts
Journal of Engineering Design,
Год журнала:
2025,
Номер
unknown, С. 1 - 28
Опубликована: Янв. 12, 2025
Intelligent
remanufacturing
process
planning
is
crucial
for
the
efficient
and
high-quality
of
used
parts
with
complex
failure
characteristics.
However,
due
to
varied
characteristics
parts,
diversity
processes,
non-linear
relationships
among
elements,
relying
solely
on
mathematical
programming
or
manual
empirical
difficult
effectively
model
optimise
planning.
To
this
end,
a
knowledge
graph-based
intelligent
method
processes
proposed
enhance
efficiency
quality
by
combining
reuse.
Firstly,
as
decision
nodes,
full-element
ontology
constructed,
linking
characteristics,
corresponding
plans.
The
BERT-BiLSTM-CRF
extracts
entities,
graph
(RPKG)
constructed.
Secondly,
an
decision-making
based
multi-node
path
retrieval
proposed.
Aim
minimise
carbon
emissions,
time,
cost,
feature
similarity
calculations
nearest
neighbour
search
(NNS)
efficiently
retrieve
optimal
plan
each
characteristic.
Then,
plans
are
merged
constraints
create
complete
plan.
Finally,
concrete
case
given
verify
effectiveness
advantages
method.
Язык: Английский
Optimizing quality and cost in remanufacturing under uncertainty
Production Engineering,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 5, 2024
Abstract
In
the
context
of
growing
sustainability
demands,
businesses
are
increasingly
adapting
their
production
practices
by
integrating
remanufacturing.
However,
companies
often
face
challenges
in
profitably
implementing
remanufacturing
due
to
complexities
arising
from
uncertainties
processes,
product
quality,
and
market
conditions.
This
highlights
need
for
effective
decision
support
processes.
Addressing
this
challenge,
our
research
introduces
an
algorithm
designed
identify
cost-efficient
process
plans
that
optimize
order
fulfillment
while
considering
a
company’s
specific
capabilities
inventory
levels.
By
modeling
planning
as
Markov
process,
comprehensively
accounts
both
process-related
quality-related
uncertainties.
approach
enables
evaluation
all
Pareto
optimal
terms
cost
efficiency
reliability.
We
validate
methodology
through
real-world
application
automation
industry,
specifically
focusing
on
variable
speed
drives.
case
study
demonstrates
practical
relevance
potential
significant
reductions,
enhanced
efficiency,
improved
labor
productivity.
Overall,
gain
critical
insights
into
financial
prospects
efforts,
identifying
opportunities
optimization
expansion
new
quality
categories.
enhances
economic
aligns
with
consumer
preferences
distinct
qualities.
Язык: Английский
Multi-Objective Remanufacturing Processing Scheme Design and Optimization Considering Carbon Emissions
Symmetry,
Год журнала:
2025,
Номер
17(2), С. 266 - 266
Опубликована: Фев. 10, 2025
In
the
face
of
escalating
environmental
degradation
and
dwindling
resources,
imperatives
prioritizing
protection,
conserving
resources
have
come
sharply
into
focus.
Therefore,
remanufacturing
processing,
as
core
remanufacturing,
becomes
a
key
step
in
solving
above
problems.
However,
with
increasing
number
failing
products
advent
Industry
5.0,
there
is
heightened
request
for
context
protection.
response
to
these
shortcomings,
this
study
introduces
novel
process
planning
model
address
gaps.
Firstly,
failure
characteristics
used
parts
are
extracted
by
fault
tree
method,
matrix
established
numerical
coding
method.
This
includes
both
symmetry
asymmetry,
thereby
reflecting
each
attribute
feature,
expeditiously
generated.
Secondly,
multi-objective
optimization
devised,
encompassing
factors
time,
cost,
energy
consumption,
carbon
emission.
integrates
considerations
patterns
inherent
components,
alongside
consumption
emissions
entailed
process.
To
complex
model,
an
improved
teaching–learning-based
(TLBO)
algorithm
introduced.
amalgamates
Pareto
elite
retention
strategies,
complemented
local
search
techniques,
bolstering
its
efficacy
addressing
complexities
proposed
model.
Finally,
validity
demonstrated
means
single
worm
gear.
The
compared
NSGA-III,
MPSO,
MOGWO
demonstrate
superiority
Язык: Английский
Multiobjective integrated scheduling of disassembly and reprocessing operations considering product structures and stochastic processing time via reinforcement learning-based evolutionary algorithms
Complex & Intelligent Systems,
Год журнала:
2025,
Номер
11(7)
Опубликована: Май 17, 2025
Язык: Английский