Revista Produção Online,
Год журнала:
2024,
Номер
24(2), С. 5151 - 5151
Опубликована: Июнь 17, 2024
The
aim
of
this
paper
is
to
develop
a
manufacturing
maturity
model
for
implementing
Industry
4.0
technologies.
study
was
based
on
the
methodology
De
Bruin
et
al.
(2005).
contributes
by
providing
insights
into
how
can
help
companies
see
their
strengths
and
weaknesses
in
order
improve
level
these
organizations.
specifically
developed
specified
objectives,
factors
barriers,
addressing
complexity
with
focus
manufacturing.
To
end,
questionnaire
administered
25
employees
Espírito
Santo,
Brazil,
validating
found
identifying
organizations
studied.
consists
five
levels,
three
dimensions
27
elements.
applied
resulted
59.7%,
obtaining
an
intermediate
classification,
meaning
partial
use
technologies
A
comparison
made
between
Mining,
Electrical,
IT,
Steel
Metallurgy
sectors.
results
showed
that
Mining
sectors
have
highest
values
IT
lowest
values.
limitation
subjectivity
inherent
questionnaires.
As
future
suggestion,
it
possible
identify
relationships
elements
presented
model.
Energies,
Год журнала:
2023,
Номер
16(2), С. 787 - 787
Опубликована: Янв. 10, 2023
The
publication
presents
heat
and
electricity
management
in
the
Polish
steel
industry.
paper
is
based
on
actual
data
consumption
intensity
by
processes
industry
Poland
Industry
4.0
conditions.
Two
production
are
used
Poland:
EAF
Electric
Arc
Furnace
BOF
Basic
Oxygen
Furnace.
analysis
an
of
to
characterise
shows
that
technology
always
more
intensive
intensive.
On
basis
conducted
analysis,
it
can
be
concluded
pro-environmental
innovations
should
first
aim
reduce
BOF.
An
for
period
2004–2020
both
cases
occurred.
study
technologies
has
been
steadily
decreasing
since
2010,
throughout
under
review.
It
from
this
adapting
requirements
and,
through
introduction
technological
innovations,
moving
towards
concept
sustainable
according
green
principles.
decrease
energy
(means
electricity)
produced
important
issue,
as
high
affects
overall
Poland.
In
future,
use
new
innovative
solutions,
including
solutions
principles,
help
further
level
consumption.
driving
force
behind
investment
boom
market.
authors
made
a
short-term
forecasts
(2022–2025).
annual
determined
analyses
were
determine
up
2025.
Journal of Open Innovation Technology Market and Complexity,
Год журнала:
2024,
Номер
10(2), С. 100268 - 100268
Опубликована: Апрель 6, 2024
This
paper
introduces
an
innovative
model
designed
to
predict
the
optimal
product
prototype
within
framework
of
sustainable
development.
The
takes
into
account
both
quality
and
environmental
impact
throughout
entire
life
cycle
product,
with
a
specific
focus
on
light
electric
vehicles.
By
incorporating
customer
expectations
using
Weighted
Sum
Model,
assesses
vehicle
based
importance
various
criteria.
Employing
evaluations
guided
by
Pareto-Lorenz
rule,
for
prototypes
is
modeled.
resulting
Quality-Environmental
Indicator
LCA
(QLCA)
facilitates
qualitative
analysis,
aiding
in
selection
that
align
expectations.
proves
effectivein
guiding
decisions
related
development,
providing
comprehensive
approach
evaluating
value.
Notable
contributions
scientific
community
include
introduction
QLCA
model,
which
integrates
assessments,
underscores
significance
open
innovation,
sensitivity
analysis
organizational
adaptation.
Future
research
directions
involve
adapting
larger
samples,
exploring
production
costs,
assessing
its
applicability
across
diverse
industries
contexts
enhance
universality
practical
implications.
Energies,
Год журнала:
2022,
Номер
15(21), С. 7909 - 7909
Опубликована: Окт. 25, 2022
The
analyses
presented
in
the
publication
allowed,
on
basis
of
data
collected,
development
an
econometric
model
for
Polish
steel
industry
from
point
view
relationship
between
heat
and
energy
management
production
process.
developed
is
main
novelty
paper.
objective
study
was
to
develop
Poland’s
economy.
following
research
questions
were
raised:
Is
there
describing
consumption
(intensity)
Poland
relation
economy?
What
are
relations
intensity
prices
Poland?
How
might
current
crisis
affect
production?
In
analysis
we
used
industry.
An
dependence
(Yt)
electricity
(X1t)
(X2t)
Poland.
authors
took
advantage
open
access
data.
Annual
volumes
processes
analysed
as
a
function
annual
volume
electricity,
which
consumed
technological
mills.
We
analyzed
years
2004–2020.
carried
out
showed
that
inversely
proportional
by
Research
shows
rising
lead
lower
production.
This
dangerous
phenomenon
context
caused
pandemic
war
Ukraine.
think
significance
our
results
connected
with
fact
useful
analytical
tool,
it
not
only
allows
historical
data,
but
can
also
be
predict
how
parameters
will
change
future
under
influence
changes
external
factors,
such
prices.
gives
wide
range
possibilities
use
model.
Processes,
Год журнала:
2022,
Номер
10(12), С. 2674 - 2674
Опубликована: Дек. 12, 2022
The
smart
and
resilient
transformation
of
manufacturing
firms
has
flourished
in
the
last
decade.
This
paper
investigates
with
application
digital
services.
It
uses
a
Serbian
data
set
136
from
Digital
Servitization
Survey
2022
coordinated
by
IFIP
WG5.7.
authors
applied
different
method
approach
through
social
network
analysis,
correlation
interviews
representatives
firms.
main
results
show
that
apply
an
adequate
combination
services
technologies
have
highest
impact
on
Moreover,
applying
technologies,
such
as
additive
manufacturing/3D
printing,
big
analytics,
twin,
increases
gross
annual
turnover
COVID-19
era.
Finally,
for
successful
transformation,
need
to
develop
strategy
motivation
oriented
profit
be
enough
withstand
market
change.
Sustainability,
Год журнала:
2023,
Номер
15(4), С. 3028 - 3028
Опубликована: Фев. 7, 2023
With
the
emergence
of
fourth
industrial
revolution,
market
globalization,
and
growing
customer
demands,
companies
are
being
forced
to
rethink
their
ways
doing
business
remain
competitive.
Small
medium-sized
enterprises
(SMEs)
in
manufacturing
sector
must
also
adapt
personalized
demands.
This
context
forces
migrate
towards
mass
customization.
The
literature
proposes
several
strategies
for
adapting
this
new
paradigm
but
does
not
offer
an
implementation
sequence
successfully
operationalizing
customization
within
SME.
Based
on
a
systematic
review
themes
surrounding
Industry
4.0
literature,
article
aims
highlight
different
factors
be
put
place
implement
research
reveals
lack
prioritization
that
favour
operationalization
Lastly,
detail
tools
levels
maturity
resulting
from
implemented.
highlights
gaps
related
Sustainability,
Год журнала:
2023,
Номер
15(14), С. 11371 - 11371
Опубликована: Июль 21, 2023
Industry
4.0
(I4.0)
is
challenging
for
organizations,
as
workers
lack
digital
competencies,
and
research
on
new
roles
limited.
Additionally,
existing
models
its
adoption
focus
technology
incorporation,
process
improvement,
organizational
transformation.
Therefore,
the
opportunity
exists
designing
a
model
that
emphasizes
developing
employees’
competencies.
A
systematic
literature
review
was
conducted
regarding
I4.0
desired
worker
After
examining
gap
in
current
categorization
of
their
main
elements,
maturity
(MM)
adoption,
based
development
proposed.
The
MM
helps
practitioners
researchers
assess
an
organization’s
level
order
to
improve
future
actions.
validation
implemented
through
Delphi
method.
roadmap
guide
workforce
presented,
which
considers
challenges
face
by
employees
advancing
strategic
adoption.
proposed
allows
depicting
deployment
strategies
aligned
with
trends
commitments
sustaining
implementation
efforts.
This
recognizes
talent,
culture,
communication
plans
key
elements
defining
actions
skills
competencies
required
embracing
enabling
technologies.
International Journal of Production Research,
Год журнала:
2024,
Номер
unknown, С. 1 - 21
Опубликована: Июль 9, 2024
Among
digital
technologies,
Artificial
Intelligence
(AI)
and
Big
Data
(BD)
have
proven
capability
to
support
different
processes,
mainly
in
discrete
manufacturing.
Despite
a
number
of
AI
BD
solutions
applications,
no
comprehensive
assessment
their
implementation
is
available
for
the
Process
Industry
(i.e.
cement,
chemical
steel)
it
getting
urgent
take
into
consideration
specific
operations.
Grounding
on
literature
focus
group
interaction,
this
paper
contributes
answering
gap
by
proposing
maturity
model
(MM)
assessing
current
status
application
these
process
industry.
Based
MMs
literature,
set
dimensions
industry
has
been
identified
contextualised
level
solutions.
Results
from
applying
MM
sample
European
companies
reveal
that
operations
are
supported
relatively
high
with
differences
where
still
necessary
invest.
The
can
be
used
both
self-assess
benchmark
same
or
other
sectors.
