Integrating data-driven mechanisms for enhancing efficiency in business administration through biomechanics and bio-inspired modeling
Molecular & cellular biomechanics,
Год журнала:
2025,
Номер
22(1), С. 614 - 614
Опубликована: Янв. 10, 2025
This
paper
explores
integrating
biomechanics
data
and
bio-inspired
models
to
enhance
efficiency
in
business
administration,
focusing
on
task
scheduling,
resource
allocation,
workflow
optimization.
Biomechanics,
traditionally
applied
fields
such
as
healthcare
sports,
is
used
analyze
human
movement
physical
strain
processes,
particularly
physically
demanding
environments
like
manufacturing
logistics.
Bio-inspired
models,
Genetic
Algorithms
(GA)
Particle
Swarm
Optimization
(PSO),
are
solve
complex
optimization
problems
management
scheduling.
The
study
presents
three
case
studies
demonstrate
the
practical
application
of
these
methodologies:
(1)
a
environment
using
reduce
improve
completion
times;
(2)
allocation
Supply
Chain
Management
(SCM)
PSO
minimize
transportation
labor
costs
while
improving
warehouse
utilization
delivery
(3)
scheduling
an
office
GA
efficiency,
workload
distribution,
employee
satisfaction.
results
21.6%
reduction
shoulder
joint
18.2%
improvement
time
setting;
16.1%
18.6%
SCM
PSO;
17.6%
decrease
makespan
29.8%
distribution
through
GA-based
environment.
These
findings
underscore
potential
combining
human-centered
with
operational
well-being,
cost-effectiveness
significantly.
Язык: Английский
Promoting human-centered manufacturing through Lean Ergonomics – a structural equation model for ergonomics and management data
Production & Manufacturing Research,
Год журнала:
2024,
Номер
12(1)
Опубликована: Сен. 2, 2024
The
Stress-Strain
Concept
(SSC)
describes
central
mechanisms
in
Lean
Ergonomics
(LE)
and
Human
Factors
Engineering
(HFE).
SSC
can
create
additional
value
through
content
methodological
enrichment
based
on
current
economic,
technological,
demographic
constraints.
This
article
uses
the
to
explore
of
interactions
productivity
ergonomics
empirical
shop
floor
data.
Ergonomic
(Borg,
NASA-Task
Load
Index
(N-TLX),
Assessment
Worksheet
(EAWS),
Health,
Age)
business
data
(normalized
absolute
standard
deviations
work
process
times)
were
collected
for
24
manual
processes
operating
large-scale
chemical
reactors.
Data
is
analyzed
using
several
Structural
Equation
Models
(SEM).
Stress
(EAWS)
–
depending
Health
Physical
Strain
with
a
model
quality
Adjusted
Goodness-of-Fit
≥0.9
identified
as
statistically
significant
regressors
time
In
addition,
carry-over
effects
from
an
autoregressive
model.
Fit
indices
are
good
acceptable
range.
Язык: Английский