Sustainability,
Journal Year:
2023,
Volume and Issue:
15(3), P. 2622 - 2622
Published: Feb. 1, 2023
Hybrid
flowshop
scheduling
problems
are
encountered
in
many
real-world
manufacturing
scenarios.
With
increasingly
fierce
market
competition,
the
production
mode
of
multiple
varieties
and
small
batches
has
gradually
been
accepted
by
enterprises,
where
technology
lot
streaming
is
widely
used.
Meanwhile,
green
criteria,
such
as
energy
consumption
carbon
emissions,
have
attracted
increasing
attention
to
improving
protection
awareness.
these
motivations,
this
paper
studies
a
multiobjective
hybrid
problem
with
consistent
sublots
(MOHFGSP_CS),
aiming
minimize
two
objectives,
i.e.,
makespan
total
consumption,
simultaneously.
To
solve
complex
problem,
we
first
formulate
novel
optimization
model.
However,
due
NP-hard
nature
model
computationally
prohibitive
scale
increases.
Thus,
discrete
artificial
bee
colony
algorithm
(MDABC)
based
on
decomposition
proposed.
There
three
phases
algorithm:
VND-based
employed
phase,
adjustment
weight
onlooker
population
interaction
scout
phase.
In
experimental
study,
various
small-scale
large-scale
instances
collected
verify
effectiveness
MDABC.
Comprehensive
computational
comparisons
statistical
analysis
show
that
developed
strategies
MDABC
superior
performance.
Journal of Computational Design and Engineering,
Journal Year:
2023,
Volume and Issue:
10(4), P. 1507 - 1530
Published: June 23, 2023
Abstract
Controlling
and
maintaining
public
health
in
the
face
of
diseases
necessitates
effective
implementation
response
strategies,
including
distribution
vaccines.
By
distributing
vaccines,
vulnerable
populations
can
be
targeted,
individuals
protected,
spread
minimized.
However,
managing
vaccine
poses
challenges
that
require
careful
consideration
various
factors,
location
facilities.
This
paper
proposes
a
novel
model
combines
location-allocation
problems
with
queueing
systems
methodologies
to
optimize
efficiency
distribution.
The
proposed
considers
factors
such
as
uncertain
demand,
varying
service
rates,
depending
on
system
state.
Its
primary
objective
is
minimize
total
costs,
which
encompass
establishment
adjustment
mechanism,
travel
times,
customer
waiting
time.
To
forecast
demand
utilizes
time-series
techniques,
specifically
seasonal
Autoregressive
Integrated
Moving
Average
model.
In
order
tackle
large-scale
problems,
16
newly
developed
metaheuristic
algorithms
are
employed,
their
performance
thoroughly
evaluated.
approach
facilitates
generation
solutions
nearly
optimal
within
reasonable
timeframe.
effectiveness
evaluated
through
real-life
case
study
focused
vaccination
Iran.
Furthermore,
comprehensive
sensitivity
analysis
conducted
demonstrate
practical
applicability
contributes
advancement
robust
decision-making
frameworks
provides
valuable
insights
for
addressing
location-related
systems.
Journal of Marine Science and Engineering,
Journal Year:
2023,
Volume and Issue:
11(4), P. 781 - 781
Published: April 4, 2023
The
international
trade
heavily
relies
on
maritime
transportation.
Due
to
the
vastness
of
ocean,
once
an
accident
happens,
fast
search
and
rescue
(MSR)
is
a
must,
as
it
life-and-death
matter.
Using
unmanned
air
vehicles
(UAVs)
effective
approach
completing
complex
MSR
tasks,
especially
when
environment
dangerous
changeable.
However,
how
effectively
plan
paths
for
multi-UAVs
under
severe
weather,
e.g.,
most
urgent
targets
in
shortest
time,
challenging
task.
In
this
study,
improved
NSGA-II
based
multi-task
optimization
(INSGA-II-MTO)
proposed
tasks.
INSGA-II-MTO,
novel
population
initialization
method
improve
diversity
initial
population.
Further,
two
tasks
are
introduced
during
execution
algorithm.
Namely,
one
assistant
task,
which
solves
simplified
problem
through
optimization,
implemented
provide
necessary
evolutional
knowledge
main
task
that
original
problem.
performance
INSGA-II-MTO
compared
with
other
competitors
three
scenarios.
Experimental
results
indicate
algorithm
performs
best
among
ones.
It
observed
can
find
set
shorter
total
handle
possible
time.
Therefore,
promising
solving
problems
reduce
human
causalities
property
losses.
Buildings,
Journal Year:
2022,
Volume and Issue:
12(9), P. 1430 - 1430
Published: Sept. 11, 2022
In
response
to
the
COVID-19
pandemic,
modular
construction
has
been
adopted
for
rapidly
delivering
healthcare
facilities,
but
few
have
systematically
explored
impacts
of
pandemic
and
contributions
construction.
This
paper
aims
evaluate
facilities
in
COVID-19,
through
exploration
challenges,
strategies,
performance
using
emergency
building
project
delivery.
The
study
was
conducted
12
real-life
projects
Hong
Kong
with
both
within-
cross-case
analyses.
results
within-case
reveal
critical
challenges
such
as
tight
program
limited
resources
available
corresponding
strategies
implementation
smart
technologies.
analysis
indicate
106%
improved
time
efficiency
203%
enhanced
cost
compared
conventional
practices.
Based
on
multi-case
studies,
develops
an
innovative
framework
which
illustrates
roles
stakeholders,
goals,
engineering
management
principles
Practically,
should
assist
policymakers
industry
stakeholders
addressing
under
efficient
collaborative
manner.
Theoretically,
it
set
exemplar
linking
service
systems
facilitate
pandemics.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(8), P. 3696 - 3696
Published: April 19, 2025
Post-disaster
reconstruction
projects
are
critical
for
restoring
communities
and
infrastructure,
yet
they
fraught
with
complex
risks
interdependent
challenges.
This
study
aims
to
identify
analyze
key
risk
factors
in
post-disaster
reconstruction,
focusing
on
their
interrelationships
impacts
project
outcomes.
The
research
integrates
a
comprehensive
literature
review
experts’
perceptions
validate
primary
factors,
the
aim
of
designing
hypothetical
interrelationship.
employs
mixed-methods
approach,
including
an
empirical
survey
collect
data
from
experienced
stakeholders,
factor
analysis
(EFA),
structural
equation
modeling
(SEM),
seven
resource-,
environmental-,
financial-,
management-,
socioeconomic-,
technical-,
organizational-related
which
extracted,
interrelationship
model
is
further
examined
validated
using
SPSS
AMOS
V24.
A
case
was
conducted
examine
how
these
interact
real-world
settings.
After
consulting
recovery
participants,
results
indicate
significant
influence
identified
context
project.
While
methods
offer
strong
insights,
this
limited
by
case-specific
factors.
Advanced
statistical
like
SEM
provides
detail
but
may
not
be
fully
generalizable
due
local
variations
conditions,
stakeholder
dynamics,
processes.
Nevertheless,
providing
actionable
insights
tools,
serves
as
guide
policymakers,
managers,
community
leaders,
helping
them
predict
develop
appropriate
strategies
improving
resilience
efficiency
future
efforts.
Buildings,
Journal Year:
2022,
Volume and Issue:
12(8), P. 1280 - 1280
Published: Aug. 21, 2022
There
has
been
a
significant
increase
in
construction
and
demolition
(C&D)
waste
due
to
the
growth
of
cities
need
for
new
construction,
raising
concerns
about
impact
on
environment
these
wastes.
By
utilising
recycled
C&D
waste,
especially
concretes
used
further
environmental
damage
can
be
prevented.
using
concretes,
energy
consumption
impacts
concrete
production
reduced.
The
behaviour
types
laboratories
extensively
studied,
but
reliable
methods
estimating
their
based
available
data
are
required.
Consequently,
this
research
proposes
hybrid
intelligent
system,
Fuzzy
Group
Method
Data
Handling
(GMDH)–Horse
herd
Optimisation
Algorithm
(HOA),
predicting
one
most
important
parameters
structure
design,
compressive
strength.
In
order
avoid
uncertainty
modelling
process,
crisp
input
values
were
converted
(Fuzzification).
Next,
variables,
group
method
handling
is
predict
strength
aggregate
concrete.
HOA
algorithm
newest
metaheuristic
algorithms
being
optimise
GMDH
structure.
Several
databases
containing
experimental
mix
design
records
mixture
components
gathered
from
published
documents
assess
accuracy
reliability
proposed
Fuzzy-based
model.
Compared
other
original
approaches,
model
with
optimiser
outperformed
them
terms
accuracy.
A
Monte
Carlo
simulation
also
employed
analysis
empirical,
standalone,
hybridised
models
demonstrate
that
evolutionary
approach
less
than
standalone
when
simulating
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(19), P. 12386 - 12386
Published: Sept. 29, 2022
Monsoon
floods
are
frequent
in
the
Tarai
region
of
Nepal
and
claim
thousands
lives
substantial
numbers
properties
every
year.
Certain
human
activities
more
affected
than
others
case
same
hazard.
This
study
analyzes
vulnerability
to
flooding
among
Tharu
households.
Data
were
collected
by
employing
household
surveys,
group
discussions,
key
informant
interviews
Thapapur
Village
Development
Committee
(VDC)
Kailali
district,
western
Tarai,
Nepal.
The
analysis
presented
this
is
based
on
theory
that
underpins
pressure
release
(PAR)
access
models.
results
show
people
major
inhabitants
area
they
prefer
live
within
their
community;
many
ex-bonded
laborers
(marginalized
people)
choose
location
for
residence.
Human
causalities
have
been
reduced
recent
years
due
easy
cell
phones,
which
has
facilitated
effective
flood
warnings
with
suitable
lead
times,
but
agriculture
production
loss
other
losses
still
high.
Agricultural
land
not
only
an
important
natural
asset
also
considered
a
financial
its
high
price
private
ownership.
concludes
subsistence
agriculture-based
households
small
landholding
sizes
less
income
diversification
highly
vulnerable
flooding.
Improper
resettlement
fragmentation
separation
family
members
most
prominent
factors
resulting
landholdings.
can
guide
government
authorities
develop
proper
management
strategies
living
lowlands
(particularly
region)
Journal of Computational Design and Engineering,
Journal Year:
2023,
Volume and Issue:
10(6), P. 2271 - 2287
Published: Oct. 28, 2023
Abstract
To
address
the
realistic
problem
of
seriously
reducing
distribution
efficiency
and
increasing
cost
caused
by
road
traffic
congestion,
this
paper
constructs
a
time-dependent
speed
describing
vehicle
travel
flow
simulating
change
urban
flow,
to
establish
route
model
considering
with
customer
satisfaction
as
optimization
objectives.
solve
problem,
hyper-heuristic
algorithm
based
on
tabu
search
is
designed
in
paper,
which
underlying
operator
selected
more
efficiently
high-level
heuristic
strategy.
In
addition,
correctness
effectiveness
are
verified
conducting
simulation
experiments
several
benchmark
sets.
Experiment
results
shown
increases,
average
lc1-type
instances
increases
0.94.
And
impact
changes
logistics
costs
further
analyzed.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(10), P. 3989 - 3989
Published: May 10, 2024
As
an
integral
part
of
the
2030
Agenda
for
Sustainable
Development,
Disaster
Risk
Reduction
(DRR)
is
essential
human
safety
and
city
sustainability.
In
recent
years,
natural
disasters,
which
have
had
a
tremendous
negative
impact
on
economic
social
development,
frequently
occurred
in
cities.
one
these
devastating
earthquakes
can
severely
damage
achievements
urban
development
sustainable
To
prepare
potential
large
future,
efficient
evacuation
plans
need
to
be
developed
enhance
efficiency
minimize
casualties.
Most
previous
research
focuses
minimization
distance
or
cost
while
ignoring
risk
factors.
We
propose
multi-objective
optimization
model
with
goal
reducing
during
process,
called
reduction
(RRM).
Problem-specific
indicators
screening
optimal
solutions
are
introduced.
The
selects
Ogu
area
Tokyo
as
case
study,
where
there
relatively
high
density
wooden
structures,
increasing
risks
building
collapse
fire
spread
after
earthquake,
based
two-phase
flow
that
considers
secondary
response.
results
indicate
that,
this
case,
RRM
can,
most
situations,
reduce
level
process
improve
success
rate
without
significantly
total
distance.
It
proves
superior
traditional
(DMM),
prioritizes
minimizing
objective
function.
