Low
productivity
is
a
persistent
challenge
in
diverse
industries,
necessitating
ongoing
efforts
to
identify
and
rectify
its
underlying
causes.
Factors
influencing
productivity,
such
as
workplace
conditions
management
practices,
are
of
paramount
importance.
This
study
focuses
on
the
crucial
steel
industry,
which
plays
foundational
role
economic
development
United
Arab
Emirates
(UAE),
serving
catalyst
for
numerous
associated
businesses.
The
primary
objective
conduct
an
in-depth
exploration
factors
affecting
within
UAE's
industry.
research
aims
comprehensively
these
factors,
assess
their
relative
significance,
evaluate
impacts
using
Analytic
Hierarchy
Process
(AHP)
decision-making
methodology
provide
insights
that
can
empower
improvement
initiatives
enhance
overall
efficiency
manufacturing
system.
Indoor Air,
Год журнала:
2024,
Номер
2024, С. 1 - 25
Опубликована: Апрель 8, 2024
Indoor
environmental
quality
(IEQ)
significantly
impacts
human
health,
well-being,
and
productivity.
However,
a
comprehensive
in-depth
review
of
the
combined
effects
IAQ
other
multi-domain
factors
on
productivity
is
lacking.
There
has
not
been
any
prior
that
encapsulates
impact
physiological
responses
occupants.
To
address
this
gap,
paper
investigates
highlights
(thermal,
visual,
acoustic)
occupant
well-being
in
built
environment.
The
explores
various
research
methods,
including
evaluation
creativity,
data
collection,
signal
analysis.
We
also
examined
interactions
between
factors,
as
well
strategies
for
optimizing
through
integrated
building
design
smart
systems.
key
findings
from
reveal
with
IEQ
further
impacting
these
effects.
Despite
advances
field,
there
are
several
limitations
gaps
current
methods
study
designs,
small
sample
sizes,
limited
insufficient
experimental
control,
reliance
laboratory
or
simulated
environments,
lack
follow-up
long-term
data,
robust
performance
metrics.
proposes
future
directions,
specific
applications,
work
to
advance
understanding
implications
policy
practice
include
need
holistic
approaches
management,
focus
creating
healthy
productive
indoor
environments.
This
emphasizes
importance
considering
complex
interplay
potentials
adopting
control
systems
sustainable
optimize
By
addressing
critical
issues,
we
can
enhance
overall
life
occupants
contribute
more
future.
Building Research & Information,
Год журнала:
2023,
Номер
51(6), С. 730 - 745
Опубликована: Май 1, 2023
Indoor
environmental
quality
(IEQ)
of
buildings
plays
an
important
role
in
affecting
building
occupants'
comfort,
health
and
well-being.
However,
there
is
limited
understanding
the
critical
IEQ
factors
that
affect
work
productivity
university
office
buildings.
By
surveying
204
people
(72
staff
members
132
postgraduate
students)
a
tertiary
education
institution
New
Zealand,
this
research
aimed
to
identify
rank
concerning
their
perceived
how
importance
these
differed
between
student
cohorts.
Statistical
analysis
identified
total
16
as
productivity,
15
them,
except
cleanliness
office,
could
be
grouped
into
four
categories:
(1)
thermal
comfort
lighting;
(2)
acoustics
privacy
comfort;
(3)
spatial
(4)
aesthetics
views.
Based
on
factors,
framework
was
developed
can
used
by
facility
managers
designers
sector
optimize
design
solutions
improve
performance
more
conducive
occupants.
The
findings
from
inform
inclusion
features
will
enable
students
using
achieve
better
productivity.
Previous
studies
suggested
that
introducing
fountain
sound
could
mitigate
the
discomfort
and
memory
disturbance
caused
by
structure
borne
from
a
metro,
proposed
prediction
models
for
after
mitigation.
However,
these
failed
to
identify
influence
degree
of
factors
on
mitigation,
which
hindered
proposal
optimal
masking
strategy
undermined
scientific
validity
models.
Additionally,
previous
analyses
did
not
address
mitigation
or
provide
it.
Therefore,
this
study
explored
aspects
further.
Based
auditory
experiments,
using
partial
least
squares
model
model,
found
considering
total
impact
degree,
was
predominantly
influenced
subjective
loudness.
levels
were
most
important
in
determining
The
signal-to-noise
ratio
significantly
but
had
no
significant
disturbance.
loudness
emerged
as
effective
predictor
discomfort.
While
predicting
depended
more
levels,
among
based
predictive
effectiveness
energy
summation
comparable
independent
effects
model.
As
global
equivalent
A-weighted
level
increased,
effect
became
evident,
its
mitigating
gradually
decreased.
These
conclusions
strategies
enhancing
such
effects,
tools
effects.
Journal of Facilities Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 6, 2025
Purpose
The
stormwater
industry
grapples
with
numerous
environmental
challenges
resulting
from
producing
and
using
storm
materials.
Green
building
materials
(GBMs)
offer
a
more
ecologically
friendly
alternative
to
conventional
construction
However,
establishing
criteria
for
selecting
GBMs
assessing
their
sustainability
has
proven
be
complex
endeavor.
Therefore,
this
paper
aims
assess
the
suitability
of
in
management
projects.
Design/methodology/approach
This
study
investigates
identifies
green
drainage
based
on
previous
literature
an
extensive
survey
involving
140
stakeholders
Egyptian
industry,
including
facilities
managers,
asset
engineers
policymakers.
A
comprehensive
model
employing
partial
least
squares
structural
equation
modeling
artificial
neural
network
is
developed
Findings
study’s
findings
emphasize
pivotal
role
social
factors
practical
implementation
material
selection
criteria.
Understanding
intricate
interplay
among
economic,
dimensions
becomes
crucial
as
navigate
transition
toward
sustainable
Originality/value
research
highlights
importance
integrating
into
decision-making,
contributing
holistic
effective
strategies
management.
originality
lies
its
innovative
approach
projects
novel
insights
dynamics
selection,
addressing
significant
gap
field.
Electronics,
Год журнала:
2023,
Номер
12(18), С. 3778 - 3778
Опубликована: Сен. 7, 2023
Indoor
fires
can
easily
cause
property
damage
and
especially
serious
casualties.
Early
timely
fire
detection
helps
firefighters
make
scientific
judgments
on
the
of
fires,
thereby
effectively
controlling
accidents.
However,
most
existing
computer-vision-based
methods
are
only
able
to
detect
a
single
case
flame
or
smoke.
In
this
paper,
tailored
deep-learning-based
scheme
is
designed
simultaneously
smoke
objects
in
indoor
scenes.
We
adopt
semantic
segmentation
architecture
DeepLabv3+
as
main
model,
which
an
encoder-decoder
for
both
objects.
Within
this,
key
module,
e.g.,
atrous
convolution,
integrated
into
improve
image
resolution
accurately
locate
targets.
addition,
solve
question
insufficient
dataset,
we
prepare
construct
new
annotated
dataset
named
‘Flame
Smoke
Semantic
Dataset
(FSSD)’,
includes
extensive
information
collected
from
real
scenes
other
sources.
Experiments
conducted
our
FSSD
database
comparisons
with
state-of-the-art
(FCN,
PSPNet,
DeepLabv3),
confirm
high
performance
proposed
91.53%
aAcc,
89.67%
mAcc,
0.8018
mIoU,
respectively.
Building and Environment,
Год журнала:
2023,
Номер
250, С. 111147 - 111147
Опубликована: Дек. 25, 2023
The
relationship
between
workers'
environmental
comfort
and
productivity
has
been
extensively
studied
over
the
years,
yet
real-world
investigations
remain
limited.
Living
labs
provide
an
opportunity
to
observe
interactions
different
domains
their
impact
on
occupants.
This
study
aims
investigate
connection
contextual
factors,
visual
thermal
sensations,
comfort,
how
they
relate
self-perceived
of
office
workers
in
a
Lab
setting,
utilizing
Structural
Equation
Modelling
(SEM).
Comfort
sensation
perception
surveys
were
conducted
during
each
session
year,
alongside
sensing
system
continuously
monitoring
temperature,
illuminance,
window/door
operations
five
offices
participating
study.
Subjects
working
single
reported
higher
than
those
shared
across
all
conditions.
Contextual
characteristics,
such
as
time
day,
had
significant
defining
satisfaction.
A
cross-modal
effect
was
observed
domains,
highlighting
that
evaluating
factors
isolation
from
assessment
overlooks
critical
elements
building
physics.
These
findings
underscore
importance
considering
broader
context
when
assessing
people's
surroundings
operational
changes
spaces
can
enhance
employees'
judgment.
Buildings,
Год журнала:
2024,
Номер
14(3), С. 698 - 698
Опубликована: Март 6, 2024
This
research
examined
the
modeling
of
productivity
with
thermal
comfort
using
various
models
in
a
case
study
conducted
classrooms
at
university
Southern
Brazil.
A
total
thirteen
were
selected
after
performing
literature
review
to
identify
main
models.
Through
application
hierarchical
clustering
separate
into
groups
similarities,
results
identified
four
groupings:
first
focused
on
temperature,
second
associated
age
Thermal
Sensation
Vote
(TSV),
third
compared
different
groups,
and
fourth
highlighted
“Model
11”,
derived
from
structural
equations
air-conditioned
China,
revealing
poor
performance
due
its
incompatibility
temperature
variations
productivity.
Meanwhile,
5”,
developed
ordinary
regression
offices
Japan,
showed
lowest
Root
Mean
Square
Error
(RMSE),
emerging
as
most
accurate
predicting
comfort.
The
use
objective
methods
assess
analysis
modeling,
review,
is
noteworthy.
evaluation
models’
also
explored
impact
independent
variables
their
scope.
cluster
analysis,
reasons
behind
discrepancies
model
identified,
providing
insights
best
practices
for
representing
relationship
between
These
offer
valuable
perspectives
developing
more
effective
this
field
reveal
wide
methodological
diversity
approach
subject.