Engineering Optimization,
Год журнала:
2024,
Номер
unknown, С. 1 - 31
Опубликована: Авг. 20, 2024
The
collection
and
transportation
of
medical
waste
(MW)
is
critical
because
environmental
public
safety
implications.
However,
the
variability
in
travel
times
transport
vehicles,
influenced
by
various
factors,
complicates
this
process.
This
article
proposes
a
multi-objective
optimization
model
to
enhance
time
reliability
(TTR)
while
minimizing
vehicle
costs
penalties
for
window
violations.
Given
NP-hard
nature
problem,
genetic
algorithm
enhanced
an
improved
harmony
search
(IHSGA)
utilized.
are
evaluated
N
City,
China.
results
highlight
significance
TTR
optimizing
MW
operations.
Sensitivity
analysis
key
parameters
validates
model's
robustness.
Furthermore,
comparative
demonstrates
superiority
IHSGA
over
traditional
methods.
These
findings
underscore
importance
incorporating
additional
associated
with
decision
making,
advocate
strategies
mitigate
such
uncertainties.
Journal of Industrial and Management Optimization,
Год журнала:
2024,
Номер
20(11), С. 3373 - 3414
Опубликована: Янв. 1, 2024
In
this
paper,
a
multi-objective
hybrid
flowshop
scheduling
problem
(HFSP)
with
limited
waiting
time
and
machine
capability
constraints
is
addressed.
Given
its
importance,
the
implementation
of
lot
streaming
division
methodologies
investigated
through
design
experiment
(DoE)
setting
based
on
real
data
extracted
from
leading
tire
manufacturer
in
Gebze,
Turkey.
By
doing
so,
specific
characteristics
addressed
HFSP
can
be
further
explored
to
provide
insights
into
complexity
suggest
recommendations
for
improving
operational
efficiency
such
systems
resembling
it.
Based
specifications
constraints,
novel
generic
optimization
model
objectives
including
makespan,
average
flow
time,
total
workload
imbalance
formulated.
Since
studied
NP-hard
strong
sense,
several
algorithms
non-dominated
sorting
genetic
algorithm-Ⅱ
(NSGA-Ⅱ)
are
proposed
according
methodologies,
i.e.,
consistent
sublots
equal
sublots.
main
aim
analyze
problem,
developed
compared
each
other
gain
remarkable
problem.
Four
different
comparison
metrics
employed
assess
solution
quality
terms
intensification
diversification
aspects.
Computational
results
demonstrate
that
employing
sublot
methodology
leads
significant
improvements
all
methodology.
Engineering Applications of Artificial Intelligence,
Год журнала:
2024,
Номер
133, С. 108578 - 108578
Опубликована: Май 11, 2024
Remanufacturing,
a
crucial
step
of
reverse
logistics,
focuses
on
restoring
or
enhancing
the
functionality
waste
products.
The
challenge
in
planning
an
effective
remanufacturing
logistics
system
lies
uncertainties
from
various
sources.
In
addition,
evolving
industrial
landscape
Industry
5.0
necessitates
adaptability
to
technological
advancements.
This
paper
proposes
integrated
and
digitalized
architecture
for
uncertain
network
design.
A
fuzzy
optimization
model
is
first
formulated
identify
potential
configurations
under
varying
demand-satisfying
capacity
constraints.
These
solutions
are
automatically
converted
assessed
dynamic
simulation
environment
with
practical
operational
logic
set
real-world
scenarios.
Numerical
experiments
performed
validate
method
show
advantages
integrating
digital
platform
strategic
planning.
results,
built
upon
previous
research,
indicate
that
while
initial
investments
technology
might
be
substantial,
they
may
lead
long-term
reductions
both
costs
emissions.
Moreover,
collaborative
decision-making
essential
mitigate
disruptions
cascading
effects.
Our
research
contributes
development
novel
decision-support
underscores
role
digitalization
future
smart
sustainable
PLoS ONE,
Год журнала:
2024,
Номер
19(4), С. e0302026 - e0302026
Опубликована: Апрель 29, 2024
The
current
robot
path
planning
methods
only
use
global
or
local
methods,
which
is
difficult
to
meet
the
real-time
and
integrity
requirements,
can
not
avoid
dynamic
obstacles.
Based
on
this,
this
study
will
improved
A-star
algorithm
design
a
hybrid
obstacle
avoidance
that
integrates
sliding
window
solve
related
problems.
Specifically,
optimized
by
evaluation
function,
sub
node
selection
mode
smoothness,
fuzzy
control
introduced
optimize
algorithm.
conducted
validation
TurtleBot3
mobile
robot,
with
data
sourced
from
experimental
certain
college.
results
showed
enabled
planned
effectively
navigate
around
obstacles
reach
target
point
accurately.
When
compared
traditional
length
reduced
9.6%,
time
decreased
29%
an
approximate
26.7%
increase
in
average
speed
of
robot.
Compared
research
has
greatly
avoiding
obstacles,
efficiency,
model
adaptability
so
on,
important
value
for
relevant
research.
It
be
seen
proposed
performance
advantages,
demonstrating
effectiveness
advantages
planning,
provide
reference
optimization.
Research
complete
tasks
robots
practical
environments,
development
planning.
RAIRO - Operations Research,
Год журнала:
2024,
Номер
58(2), С. 1473 - 1497
Опубликована: Янв. 11, 2024
This
research
suggests
a
Robust
and
Risk-Averse
Medical
Waste
Chain
Network
Design
by
considering
Viability
requirements
(RRMWCNDV).
The
aim
is
to
locate
waste
management
facility
that
minimizes
promotes
the
recycling
of
materials
like
metal
plastic,
contributing
environmental
benefits.
proposed
RRMWCNDV
aims
be
viable,
robust
risk-averse.
A
two-stage
stochastic
programming
model
was
utilized
develop
this
framework.
It
incorporates
risk
employing
Weighted
Value
at
Risk
(WVaR)
approach
for
first
time.
study
reveals
incorporating
robustness
scenarios
results
in
lower
cost
function.
degree
conservatism
decision-making
can
adjusted
between
0%
100%,
increasing
confidence
level
WVaR
indicates
aversion,
with
an
increase
function
4%
increase.
agility
coefficient,
which
percentage
demand
production
from
HC
transferred
another
facility,
also
affects
population
risk.
decrease
sustainability
coefficient
53%
rise
12.82%
demonstrates
NP-hard
characteristics
becomes
exponentially
complex
larger
scales.
