Optimal decisions of closed-loop electric vehicle batteries supply chains under extended producer responsibility policies
International Journal of Systems Science Operations & Logistics,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: Jan. 21, 2025
Language: Английский
Module Partition of Mechatronic Products Based on Core Part Hierarchical Clustering and Non-Core Part Association Analysis
Shuai Wang,
No information about this author
Yifei Song,
No information about this author
Guangyu Zou
No information about this author
et al.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(5), P. 2322 - 2322
Published: Feb. 21, 2025
Production
using
modular
architecture
can
not
only
shorten
the
product
development
cycle
and
improve
efficiency
of
development,
but
also
facilitate
upgrading
a
product’s
main
functions
recycling
materials.
However,
mechatronic
products
are
plagued
by
various
problems,
such
as
greater
difficulty
in
longer
cycles
due
to
their
large
numbers
parts
with
intricate
internal
relationships.
existing
design
method
still
faces
problems
when
dealing
products.
The
structure
mechanical
electrical
is
very
complex,
which
conducive
establishment
model,
complex
structural
models
lead
low
poor
accuracy
module
identification.
Therefore,
we
propose
an
integrated
division
for
based
on
core
part
hierarchical
clustering
non-core
association
analysis.
Firstly,
screening
used
simplify
model
reduce
modeling.
Then,
parts,
corresponding
matrix
(DSM)
established.
Secondly,
algorithm
obtain
scheme
different
levels
products,
optimal
obtained
through
evaluation
modularity
rationality
analysis
structure.
Finally,
strength
between
modules,
classified
into
final
modularization
obtained.
A
case
study
demonstrates
feasibility
proposed
electric
bicycle.
Language: Английский
Performance Gain of Collaborative Versus Sequential Motion in Modular Robotic Manipulators for Pick-and-Place Operations
Machines,
Journal Year:
2025,
Volume and Issue:
13(5), P. 348 - 348
Published: April 23, 2025
With
the
increasing
demand
for
efficiency
and
profitability
in
industrial
applications,
modularity
offers
significant
advantages
such
as
system
reconfiguration,
reduced
acquisition
costs,
enhanced
versatility.
However,
achieving
compatibility
across
multi-vendor
modular
systems
remains
a
challenge,
particularly
motion
control.
This
study
focuses
on
improving
control
sensing
performance,
partly
using
open-source
tools
to
enhance
performance
systems.
In
systems,
effective
coordination
between
modules
is
crucial;
without
it,
operations
are
constrained
sequential
execution,
limiting
efficiency.
paper
quantifies
benefits
of
collaborative
compared
mechatronic
pick-and-place
operations.
The
experimental
validation,
conducted
robotic
manipulator
mounted
linearly
sliding
platform,
demonstrates
substantial
improvement.
results
show
time
savings
36%
52%
an
approximate
35%
reduction
energy
consumption,
highlighting
potential
improved
productivity
sustainability
automation
solutions.
Language: Английский
Sustainability assessment in manufacturing: A life cycle analysis perspective
AIP conference proceedings,
Journal Year:
2025,
Volume and Issue:
3157, P. 110027 - 110027
Published: Jan. 1, 2025
Language: Английский
Architectural design space exploration of complex engineered systems with management constraints and preferences
Journal of Engineering Design,
Journal Year:
2024,
Volume and Issue:
35(6), P. 743 - 774
Published: April 2, 2024
During
the
architectural
design
phase,
decisions
made
have
a
crucial
impact
on
developing
complex
systems.
These
often
limit
performance
bounds
and
steer
subsequent
research
directions.
However,
multitude
of
components
intricate
interrelationships
cause
component
combination
explosion.
Additionally,
diverse
requirements
different
stakeholders
add
complexity
to
determining
weight
indicators,
posing
challenges
system
architecture
generation
trade-off.
This
paper
proposes
method
for
exploring
space
in
systems
realisation,
which
aims
resolve
issues
related
formal
representation
architectures,
selection
within
space,
trade-offs.
Firstly,
is
represented
by
formulating
mathematically
describing
morphological
matrix.
Then,
construction
Constraint
Satisfaction
Problem
model
achieve
reduction
scale
space.
Moreover,
through
evolutionary
algorithm,
Pareto
front
identified.
Weight
sensitivity
analysis
improved
Technique
Order
Preference
Similarity
Ideal
Solution
are
combined
assist
designers
finding
satisfactory
from
with
many
combinations.
Finally,
proposed
verified
launch
vehicle's
primary
secondary
separation
system.
Language: Английский
Assessing the Environmental Impact of Plastic Waste using Life Cycle Assessment
Andrey Y. Butyrin,
No information about this author
Ammar Hameed Shnain,
No information about this author
G. Keerthi Reddy
No information about this author
et al.
E3S Web of Conferences,
Journal Year:
2024,
Volume and Issue:
581, P. 01010 - 01010
Published: Jan. 1, 2024
This
research
use
a
life
cycle
assessment
(LCA)
paradigm
to
investigate
the
environmental
effects
of
plastic
waste
management
practices.
The
impacts
these
processes
are
measured
using
experimental
data.
acquisition
raw
materials,
particularly
in
manufacturing,
results
considerable
consequences,
including
an
energy
expenditure
1200
MJ
and
release
300
kg
CO2.
Likewise,
processing
activities,
such
as
shredding
molding,
need
1500
produce
400
CO2
emissions.
operational
lifespan
product
is
underscored
its
usage
phase,
wherein
Plastic
Product
A
Component
B
exhibit
cumulative
consumption
100
MJ/year
120
MJ/year,
alongside
emissions
20
CO2/year
25
CO2/year,
respectively,
thereby
accentuating
significance
product’s
lifecycle.
end-of-life
phase
underscores
variety
recycling
rates,
emphasizing
for
more
effective
techniques.
comprehensive
LCA
methodology
delineates
critical
areas
improvement,
directing
sustainable
methods
fostering
environmentally
responsible
decision-making
within
sector.
provide
method
handling
garbage
diminishing
ecological
impact.
Language: Английский
Sustainability and risk considerations for the concurrent product and supply chain design
Procedia CIRP,
Journal Year:
2024,
Volume and Issue:
130, P. 995 - 1000
Published: Jan. 1, 2024
Language: Английский
An Evolutionary Modular Product Development Under Circular Economy Approach
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(23), P. 10688 - 10688
Published: Dec. 5, 2024
The
incorporation
of
new
technologies
and
materials,
as
well
the
rapid
evolution
products,
makes
it
necessary
to
guide
product
design
development
process
from
bio-inspired
perspectives
that
promote
a
circular
economy.
Among
proposals
based
on
solution
is
framework
called
Genomic
Model
Eco-innovation
Eco-design,
which
integrates
Cradle-to-Cradle
paradigm,
material
substance
flow
analysis,
along
with
all
aspects
present
in
life
cycle
analysis
products.
In
this
work,
innovation
carried
out
through
integration
genetic
algorithms
methodological
tool
for
optimizing
modular
definition
genotype
within
aforementioned
framework.
Through
systematic
approach,
analyzes
how
reconfiguration
principles
optimization,
can
contribute
significant
reduction
resource
use
waste
generation.
proposed
methodology
applied
practical
case
redesign
small
household
appliance,
demonstrating
its
potential
facilitate
implementation
economy
strategies
early
stages
studying
modularity,
aims
improving
reducing
impact.
Language: Английский
Knowledge graph based multi-granularity tacit design knowledge reuse for product design
Jia Jia,
No information about this author
Yingzhong Zhang,
No information about this author
Mohamed Saad
No information about this author
et al.
Journal of Computational Design and Engineering,
Journal Year:
2024,
Volume and Issue:
12(1), P. 53 - 79
Published: Dec. 5, 2024
Abstract
Decomposing
product
design
into
multiple
granularities
is
an
effective
strategy
to
implement
complex
design.
Tacit
knowledge
(TDK),
adhering
designers’
experience
and
intuition,
plays
essential
role
in
the
at
various
granularities,
but
it
difficult
acquire
reuse
due
its
implicity.
Aiming
this
issue,
a
graph-based
multi-granularity
TDK
framework
for
presented.
First,
issue-solving
oriented
graph
(DSKG)
model
employed
indirectly
capture
TDK,
where
result
data
are
represented
as
solution
nodes
issues
that
refine
relation
edges.
An
improved
ontological
concept
designed
schema
of
DSKG
represent
on
functions,
behaviours,
structures
products.
Afterwards,
supports
two
modes,
i.e.,
top–down
bottom–up
design,
captured
reused
create
context
predict
solutions.
embedding
prediction
both
while
creation
achieved
distinctively.
In
process
starts
from
requirements
then
gradually
downward
refines
solutions
different
with
breadth-first
strategy,
which
naturally
creates
continuous
context,
until
moving
detailed
target
commonly
isolated
specific
fine-grained
granularity.
This
paper
presents
novel
approach
constructing
based
path-ranking
algorithm.
Path-ranking
algorithm
can
identify
influence
paths
build
connections
between
thus
construct
context.
Finally,
case
study
stamping
die
implemented,
illustrates
feasibility
effectiveness
framework.
The
comparisons
state-of-the-art
methods
also
made
demonstrate
merits
presented
Language: Английский
Product family formation based on optimal resource sequence for reconfigurable manufacturing system
International Journal of Production Research,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 15
Published: Dec. 12, 2024
Reconfigurable
manufacturing
system
(RMS)
is
designed
to
meet
dynamic
market
demands
by
changing
function
and
capacity
which
built
around
a
product
family.
Therefore,
the
foundation
for
success
of
designing
RMS
lies
in
precise
family
formation.
This
paper
proposes
novel
formation
method
based
on
optimal
resource
sequence.
Instead
clustering
products
only
process
similarity,
derives
sequence
from
sharing
resources.
Then
Produce-Process-Resource
similarity
coefficient
used
hierarchical
clustering.
The
results
show
that
when
families
obtained
this
method,
average
Overall
Equipment
Effectiveness
significantly
improved.
Language: Английский