Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Окт. 6, 2023
Abstract
Faced
with
immense
pressure
to
reduce
carbon
emissions,
off-site
construction
(OSC)
is
considered
as
a
sustainable
alternative
from
conventional
practices.
However,
challenged
by
component
diversity
and
sharp
rise
in
demand,
deficient
management
precast
production
struggles
effectively
tackle
real-world
challenges
of
grouping,
coupled
insufficient
attention
environmental
impacts,
ultimately
resulting
falling
short
expected
benefits
OSC
projects.
Therefore,
this
study
discusses
emissions
grouping
issues
production.
A
multi-objective
optimization
framework
proposed,
aiming
minimize
tardiness/
earliness
penalty
while
considering
the
incorporation
technology
for
grouping.
The
non-dominated
sorting
genetic
algorithm
II
(NSGA-II),
adjusted
adaptive
population
initialization
strategy
group
technology,
introduced
solving
problem,
striking
balance
between
sustainability
costs.
Through
real-case
analysis,
proposed
approach
demonstrates
an
average
reduction
37.5%
compared
rule-based
scheduling
methods,
30.1%
previous
research
along
over
10%
penalty.
This
enhances
efficiency
perspective
establishes
automated,
practical
method,
fostering
low-cost,
high-efficiency
green
enterprises,
particularly
small
medium-sized
thereby
promoting
development
industry.
Journal of Construction Engineering and Management,
Год журнала:
2024,
Номер
150(5)
Опубликована: Март 11, 2024
The
production
process
of
precast
components
is
labor-intensive,
involving
various
manual
tasks.
physically
demanding
tasks
usually
result
in
fatigue
and
overexertion
workers,
leading
to
increased
occupational
health
risks
reduced
productivity.
An
appropriate
work–rest
strategy
recognized
effectively
promote
both
workers'
productivity,
while
it
has
rarely
been
studied
the
field
construction
industry.
To
narrow
this
gap,
study
developed
a
mixed-integer
linear
programming
approach
optimize
schedule
by
integrating
overexertion.
objective
maximize
productive
time
affected
accumulative
recovery.
Also,
optimized
can
be
highly
customized
considering
personalized
factors
task
characteristics.
Experimenting
with
case
compared
default
rest
provided
superintendent
onsite
optimal
solution
solved
from
model.
Results
suggested
that
up
20%
improvement
achieved,
especially
for
relatively
higher
workload.
Computational
experiments
were
conducted
evaluate
sensitivity
total
task-specific
factors.
proposed
method
provides
superintendents
an
applicable
improve
productivity
reduce
their
resulting
This
implementation
management
support
regulations
on
required
quantified
evidence,
thereby
contributing
more
reliable
scheduling
sustainable
workforce
development
research
scope
was
limited
process,
further
investigation
broader
applications
will
conducted.
International Transactions in Operational Research,
Год журнала:
2024,
Номер
31(4), С. 2366 - 2398
Опубликована: Янв. 22, 2024
Abstract
As
the
prefabrication
construction
method
plays
an
increasingly
important
role
in
of
cross‐sea
bridges,
coordinating
schedule
between
off‐site
and
on‐site
assembly
becomes
crucial
challenging.
This
paper
studies
a
just‐in‐time
single‐machine
scheduling
problem
with
due
windows
release
dates,
which
originates
from
production
supply
process
large
segments
precast
steel
box
girders
bridge
construction.
To
solve
this
problem,
we
equivalently
decompose
it
into
independent
same
type
subproblems
formulate
mixed‐integer
linear
mathematical
programming
model.
Furthermore,
propose
branch‐and‐bound
algorithm
initialization
novel
early
tardy
dispatching
rule
to
exactly.
The
rule,
based
on
local
dominance
criteria
windows,
is
designed
used
improve
upper
bound.
Moreover,
lower
bound
obtained
by
further
decomposing
relaxing
subproblems.
Finally,
parameter
calibrated,
best
search
strategy
determined.
comprehensive
computational
experiments
carried
out
show
efficiency
effectiveness
proposed
algorithm.
Buildings,
Год журнала:
2025,
Номер
15(4), С. 535 - 535
Опубликована: Фев. 10, 2025
This
paper
explores
the
current
application
status
and
development
trends
of
intelligent
construction
technologies
in
modern
timber
structures
China.
By
using
VOSviewer
software
for
bibliometric
analysis,
research
focused
on
three
key
areas:
BIM
technology,
machine
vision,
lifecycle
information
management.
The
study
found
that
technology
has
significantly
improved
design
accuracy
efficiency
buildings
through
3D
visualization,
parametric
design,
interdisciplinary
collaboration.
Machine
vision
enhances
quality
control
damage
assessment
automation.
Lifecycle
management
promotes
sustainable
line
with
carbon
neutrality
goals.
further
analyzes
challenges
difficulties
applying
to
proposes
solutions
tailored
characteristics
structures,
including
deepening
integration
environmental
science
urban
planning
enhancing
user
feedback
optimization.
These
studies
provide
new
perspectives
low-carbon
offer
support
achieving
sustainability
goals
neutrality.
Processes,
Год журнала:
2025,
Номер
13(5), С. 1293 - 1293
Опубликована: Апрель 24, 2025
In
response
to
the
limitations
observed
in
existing
single
intelligent
optimization
algorithms,
particularly
their
shortcomings
global
search
capability
and
population
diversity,
we
propose
Adaptive
Differential
Evolution
Integral
(ADEI)
algorithm.
Drawing
inspiration
from
collective
behaviors
social
organisms,
this
algorithm
introduces
four
roles—“leaders”,
“followers”,
“contemplators”,
“rationalists”—employing
a
dynamic
following
strategy
effectively
integrate
these
diverse
particles
populations.
Specifically,
individuals
serve
as
leader
population,
with
tailored
trial
vector
generation
strategies
implemented
enhance
capability.
Concurrently,
improvements
are
made
particle
swarm
facilitate
its
role
evolution
for
other
By
adopting
approach,
algorithm’s
diversity
is
enhanced,
striking
balance
between
local
performance,
thereby
augmenting
efficiency
convergence
accuracy.
Extensive
tests
using
benchmark
functions
engineering
problems
show
that
proposed
excels
over
half
of
28
test
functions.
It
demonstrates
strong
adaptability
unimodal,
multimodal,
composite
problems.
Experiments
on
solving
inverse
heat
conduction
validate
effectiveness
real-world
scenarios
highlight
potential
applications.
