Advanced Information Systems,
Год журнала:
2023,
Номер
7(4), С. 86 - 93
Опубликована: Дек. 3, 2023
The
organization
of
medical
assistance
in
de-occupied
territories
and
close
to
combat
activities
necessitates
reorganizing
the
existing
system,
making
task
developing
methodological
support
for
Agile-redistribution
resources
a
multi-project
environment
relevant.
article
aims
develop
framework
Agile
redistribution
environment.
Research
results
&
conclusions.
In
paper,
issue
resource
reallocation
healthcare
is
examined.
A
human
setting
has
been
developed,
which
based
on
use
donor-acceptor
interaction.
An
method
enabling
facilities
be
provided
with
resources,
taking
into
account
principles
resilience,
adaptability,
functional
reservation.
model
process
(IDEF0)
constructed.
scenario
approach
ensure
considered.
main
scenarios
have
identified.
IDEF3
(scenario
approach)
developed.
example
applying
developed
conducting
selected
allowed
selection
option
that
meets
defined
reservation
requirements,
chosen
scenario.
Mathematics,
Год журнала:
2023,
Номер
11(15), С. 3350 - 3350
Опубликована: Июль 31, 2023
Digital
twin
is
the
digital
representation
of
an
entity,
and
it
drives
Industry
4.0.
This
paper
presents
a
bibliometric
analysis
in
supply
chain
to
help
researchers,
industry
practitioners,
academics
understand
trend,
development,
focus
areas
chain.
found
several
key
clusters
research,
including
designing
model,
integration
application
quality
control,
digitalization.
In
embryonic
stage
was
tested
production
line
with
limited
optimization.
development
stage,
importance
4.0
observed,
as
big
data,
machine
learning,
Industrial
Internet
Things,
blockchain,
edge
computing,
cloud-based
systems
complemented
models.
applied
improve
sustainability
manufacturing
logistics.
current
prosperity
high
annual
publications,
recent
trends
this
topic
on
deep
data
models,
artificial
intelligence
for
also
that
COVID-19
pandemic
drove
start
research
Researchers
field
are
slowly
moving
towards
applying
human-centric
mass
personalization
prepare
transit
5.0.
International Journal of Production Research,
Год журнала:
2024,
Номер
unknown, С. 1 - 24
Опубликована: Авг. 13, 2024
In
recent
years,
the
semiconductor
supply
chain
has
experienced
dramatic
changes,
due
to
geopolitical
tensions
and
public
health
events,
which
have
provided
insights
into
disruptions
shortage
economy.
This
review
synthesises
current
research
on
offer
a
comprehensive
analysis
of
vulnerabilities
resilience
strategies.
We
begin
with
an
overview
key
characteristics
complexities
chain.
Focusing
security
issues
we
provide
challenges
faced
mitigation
strategies
adopted.
Moreover,
identify
important
gaps
in
literature
propose
future
directions,
emphasising
need
for
innovative
management
practices
decentralised
networks
necessary
redundancy.
Our
contributes
ongoing
discussion
how
robustness
adaptability
chain,
ensure
its
sustainability
face
rapidly
changing
global
landscape.
Sustainability,
Год журнала:
2024,
Номер
16(20), С. 8981 - 8981
Опубликована: Окт. 17, 2024
This
article
presents
the
results
of
a
study
focused
on
collaboratively
developing
an
Innovation
Management
Model
(MGI)
for
leather
agro-industrial
chain
in
Colombia.
integrates
participation
interested
parties,
prioritization
variables,
literature
review,
and
validation
model,
emphasizing
sustainability
considerations
throughout
process.
The
methodology
involved
using
Scopus
Google
Scholar,
focusing
innovation
management
models,
open
innovation,
sector.
In
addition,
three
surveys
were
conducted
to
prioritize
established
Likert
scale
questions,
assess
relevance
congruence.
Key
findings
included
26
critical
variables
covering
aspects
such
as
agricultural
technological
platforms
projects,
capacity
development,
R&D
activities,
supply
dynamics,
processes,
knowledge
technology
integration,
business
model
adaptation
sustainable
environmental
impact
assessment.
prioritized
aims
guide
stakeholders
define
strategies,
regenerative
generation,
improvement
strategic
capabilities.
Electronics,
Год журнала:
2024,
Номер
13(16), С. 3294 - 3294
Опубликована: Авг. 19, 2024
Accurate
automobile-demand
forecasting
can
provide
effective
guidance
for
automobile-manufacturing
enterprises
in
terms
of
production
planning
and
supply
planning.
However,
automobile
sales
volume
is
affected
by
historical
other
external
factors,
it
shows
strong
non-stationarity,
nonlinearity,
autocorrelation
complex
characteristics.
It
difficult
to
accurately
forecast
using
traditional
models.
To
solve
this
problem,
a
model
combining
trend
extrapolation
causality
analysis
proposed
derived
from
the
predictors
influence
factors.
In
trend-extrapolation
model,
series
was
captured
based
on
Seasonal
Autoregressive
Integrated
Moving
Average
(SARIMA)
Polynomial
Regression
(PR);
then,
Empirical
Mode
Decomposition
(EMD),
stationarity-test
algorithm,
an
autocorrelation-test
algorithm
were
introduced
reconstruct
sequence
into
stationary
components
with
seasonality
components,
which
reduced
influences
non-stationarity
nonlinearity
modeling.
causality-analysis
submodel,
31-dimensional
feature
data
extracted
influencing
such
as
date,
macroeconomy,
promotion
activities,
Gradient-Boosting
Decision
Tree
(GBDT)
used
establish
mapping
between
factors
future
because
its
excellent
ability
fit
nonlinear
relationships.
Finally,
performance
three
combination
strategies,
namely
boosting
series,
stacking
parallel
weighted-average
tested.
Comparative
experiments
groups
showed
that
strategy
had
best
performance,
loss
reductions
16.81%
4.68%
number-one
brand,
25.60%
2.79%
number-two
46.26%
14.37%
number-three
brand
compared
strategies.
Other
ablation
studies
comparative
six
basic
models
proved
effectiveness
superiority
model.
