Ergonomics,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 22
Published: Aug. 17, 2024
This
article
brings
together
works
on
the
concept
of
constructed
safety
in
ergonomics,
carried
out
over
last
twenty-five
years.
Firstly,
we
situate
this
approach
to
relation
previously
developed
existing
models
(e.g.
regulated
and
managed
safety)
with
regard
development
activity-centred
ergonomics.
We
then
present
six
research
actions
ergonomics
from
a
selection
different
fields,
small
companies
industry
future
an
international
group:
public
works,
hospitals,
aeronautical
industry,
railway
transport,
agriculture,
chemical
order
describe
applications.
The
results
highlight
that
is
respectively
raised
by
mutual
knowledge
between
workers
management,
collective
decision
making,
reflexive
work
rules,
spatiotemporal
articulation
sources,
integration
pesticide
exposure
situations
designers
regulation,
social
regulation
sustaining
risk
understanding
aspect
involving
diversity
actors
(workers,
preventionists,
managers,
local
residents
authorities).
By
focusing
analysis
actual
practices
real
situations,
aims
account
for
way
which
deployed
daily
basis
meet
production
health
objectives.
contributes
design
safe
systems
developmental
propose
operating
model
safety.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(10), P. 3950 - 3950
Published: May 8, 2024
Ergonomic
risks
critically
impact
workers’
occupational
health,
safety,
and
productivity,
thereby
the
sustainability
of
a
workforce.
In
construction
industry,
physical
demands
dynamic
environment
exposes
workers
to
various
ergonomic
hazards.
While
previous
research
has
mainly
focused
on
postural
risks,
there
is
need
broaden
scope
include
more
relevant
factors
assess
them
systematically.
This
study
introduces
multi-criteria
decision
framework
integrating
Spherical
Fuzzy
Sets
(SFSs)
Alternative
Queuing
Method
(AQM)
evaluate
prioritize
First,
SFSs
are
employed
quantify
linguistic
expressions
experts,
addressing
inherent
vagueness
uncertainty.
Then,
an
entropy-based
objective
weighting
method
adopted
determine
criteria
weights.
Finally,
AQM
utilized
generate
risk
priority.
The
proposed
been
implemented
in
real-life
project,
where
“overexertion
due
unreasonable
task
organization”,
“hypertension
heart
diseases”,
“existing
WMSD
record”
identified
as
top
three
thorough
discussion
intervention
strategies
regarding
different
categories
presented
facilitate
interventions.
support
system
can
promote
effective
management,
benefiting
health
well-being
contributing
sustainable
workforce
development
industry.
Decision Analytics Journal,
Journal Year:
2023,
Volume and Issue:
9, P. 100357 - 100357
Published: Nov. 7, 2023
Occupational
accidents
are
a
significant
concern,
resulting
in
human
suffering,
economic
crises,
and
social
issues.
Despite
ongoing
efforts
to
comprehend
their
causes
predict
occurrences,
the
use
of
machine
learning
models
this
domain
remains
limited.
This
study
aims
address
gap
by
investigating
intelligent
approaches
that
incorporate
criteria
occupational
accidents.
Four
algorithms,
Random
Forest
(RF),
Support
Vector
Machine
(SVM),
Multivariate
Adaptive
Regression
Spline
(MARS),
M5
Tree
Model
(M5),
were
employed
accidents,
considering
three
criteria:
basic
income
(BI),
inflation
index
(II),
price
(PI).
The
focuses
on
identifying
most
suitable
model
for
predicting
frequency
(FOA)
determining
with
greatest
influence.
results
reveal
RF
accurately
predicts
across
all
levels.
Additionally,
among
criteria,
II
had
impact
findings
suggest
reduction
FOA
is
unlikely
coming
years
due
increasing
growth
PI,
coupled
slight
annual
increase
BI.
Implementing
appropriate
countermeasures
enhance
workers'
welfare,
particularly
low-income
employees,
crucial
reducing
research
underscores
potential
preventing
while
highlighting
critical
role
factors.
It
contributes
valuable
insights
scholars,
practitioners,
policymakers
develop
effective
strategies
interventions
improve
workplace
safety
well-being.
Safety,
Journal Year:
2025,
Volume and Issue:
11(1), P. 10 - 10
Published: Jan. 20, 2025
Marine
nuclear
power
plants
(MNPPs)
represent
items
of
forward-looking
high-end
engineering
equipment
combining
and
ocean
engineering,
with
unique
advantages
broad
application
prospects.
When
a
accident
occurs,
it
causes
considerable
economic
losses
casualties.
The
traditional
analysis
only
considers
the
failure
single
system
or
component,
without
considering
coupling
between
operator,
environment,
other
factors.
In
this
study,
cause
mechanism
accidents
in
MNPPs
is
analyzed
from
perspective
social
technology
system.
causal
model
constructed
by
using
internal
core
(e.g.,
technical
control)
external
stimulation
intervention)
accidents,
after
which
coupled
evolution
each
influencing
factor
analyzed.
A
Bayesian
network
inference
used
to
quantify
relationship
factors
that
affect
deterioration
accidents.
results
show
main
are
pump
failure,
valve
insufficient
response
time,
poor
psychological
state,
unfavorable
sea
conditions,
offshore
operating
environments,
communication
inappropriate
organizational
procedures,
inadequate
research
design
institutions,
regulatory
agencies,
policies.
These
12
have
high
degree
causality
small
break
loss
coolant
(SBLOCA).
addition,
chain
most
likely
influence
development
SBLOCA
into
severe
obtained.
This
provides
theoretical
basis
for
preventing
occurrence
marine
