Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(11), P. 6396 - 6396
Published: May 24, 2023
Fast,
accurate,
and
efficient
analysis
of
production
data
is
a
key
element
the
Industry
4.0
paradigm.
This
applies
not
only
to
newly
built
solutions
but
also
digitalization,
automation,
robotization
existing
factories
or
repair
lines.
In
particular,
technologists’
extensive
experience
know-how
are
necessary
design
correct
technological
processes
minimize
losses
during
product
costs.
That
why
proper
selection
tools,
machine
parameters
manufacturing
process
so
important.
Properly
developed
technology
affects
entire
process.
paper
presents
an
attempt
develop
post-hoc
model
already
with
increased
requirements
expectations
resulting
from
introduction
we
relied
on
fuzzy
logic
support
description
uncertainties,
incomplete
data,
discontinuities
in
translates
into
better
controls
compared
conventional
systems.
An
proposed
solution’s
limitations
proposals
for
further
development
constitute
novelty
contribution
article.
Cogent Engineering,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Feb. 8, 2024
Facility
maintenance
management
(FMM)
is
essential
for
ensuring
long-term
values
and
to
sustain
project
goals
throughout
the
life
cycle
delivery
process.
However,
in
underdeveloped
nations
such
as
Ethiopia,
facility
an
immature
underutilised
process
that
requires
a
holistic
intervention
practical
improvement.
The
main
aim
of
this
study
was
identify
prioritise
critical
factors
affect
effectiveness
FMM,
with
focus
on
public
universities
Ethiopia.
Initially,
total
thirty-three
(33)
crucial
variables
were
identified
systematic
literature
review
desk
study.
To
collect
primary
data,
survey
research
design
approach
utilised
using
questionnaires
informant
interviews.
A
seventy-five
(75)
data
sets
obtained
from
180
online
surveys
conducting
exploratory
factor
analysis
(EFA).
outcome
revealed
thirteen
(13)
attributes
grouped
into
four
practises.
final
four-factor
model
includes
F1,
internal
processes
organisation;
F2,
community
culture,
learning,
growth;
F3,
impacts
construction
quality;
F4,
management.
This
indicated
practises
Ethiopia
are
require
extensive
enhancement.
influencing
highlight
need
comprehensive
promote
improved
applications
Further
needed
analyse
wider
range
confirmatory
analysis.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(8), P. 2365 - 2365
Published: April 8, 2025
Recently,
there
has
been
a
growing
interest
in
issues
related
to
mining
equipment
maintenance,
with
particular
focus
on
pumping
systems’
continuous
operation.
However,
despite
wide
applications
of
pump
system
maintenance
range
industries,
such
as
water
and
wastewater,
aviation,
petrochemical,
building
(HVAC
system),
nuclear
power
plant
the
literature
systems
operating
industry
still
needs
development.
This
study
aims
review
existing
present
an
up-to-date
analysis
strategies
for
pumps,
proactive
approaches.
Key
aspects
considered
include
predictive
diagnostics
prognosis,
health
status
monitoring,
management,
integration
intelligent
enhance
operational
reliability
efficiency
harsh
environments.
The
proposed
methodology
includes
systematic
use
Primo
multi-search
tool,
adhering
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISMA)
guidelines.
selection
criteria
focused
English
studies
published
between
2005
2024,
resulting
88
highly
relevant
papers.
These
papers
were
categorized
into
six
groups:
(a)
condition/health
(b)
dewatering
operation
(c)
diagnosis
(d)
(modern
technologies),
(e)
(f)
optimization.
A
notable
strength
this
is
its
diverse
scientific
databases
facilitated
by
tool.
Additionally,
bibliometric
was
performed,
showcasing
evolution
research
sector
over
past
decade
identifying
key
areas
diagnostics,
optimization,
management.
highlights
varied
levels
practical
implementation
across
emphasizing
sector’s
unique
challenges
opportunities.
Significant
gaps
identified,
including
need
tailored
diagnostic
tools,
real-time
monitoring
systems,
cost-effective
specific
Future
directions
are
proposed,
focusing
advancing
technologies,
integrating
enhancing
reliability.
concludes
detailed
discussion
findings
their
implications,
offering
roadmap
innovations
within
industry.
Actuators,
Journal Year:
2023,
Volume and Issue:
12(7), P. 302 - 302
Published: July 24, 2023
This
paper
focuses
on
the
implementation
of
Industry
4.0-based
maintenance
approaches
using
AR
technology.
The
primary
objective
is
to
highlight
benefits
in
and
provide
a
framework
for
implementing
AR-based
systems.
can
assist
personnel
performing
tasks
more
efficiently
by
providing
real-time
instructions
information.
By
overlaying
virtual
information
real
equipment,
guide
through
procedures,
reducing
human
errors
improving
quality
work.
also
remote
assistance
personnel,
allowing
experts
remotely
less
experienced
complex
procedures.
proposed
application
provides
motorcycle
service
telepresence
technologies.
It
enables
monitoring
flow
performs
an
automated
identification
parts.
system
disassembling
mechanical
components,
3D
model
object,
ordering
necessary
Benchmarking An International Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 29, 2024
Purpose
The
purpose
of
this
research
was
to
conduct
a
comprehensive
bibliometric
analysis
explore
supply
chain
resilience
and
operations
management
practices
in
the
construction
industry,
with
particular
focus
on
transition
from
Industry
4.0
5.0.
study
addressed
significant
gap
literature
regarding
impact
these
advanced
technologies
sector’s
ability
anticipate,
respond
recover
disruptions.
Design/methodology/approach
methodology
employed
using
Scopus
database
identify
key
trends,
influential
publications
emerging
areas
keywords
such
as
“supply
chain”,
“operations
management”,
“Industry
4.0”,
5.0”
“construction”.
This
approach
allowed
for
quantitative
evaluation
existing
literature,
offering
insights
into
intellectual
structure
field.
Findings
findings
revealed
that
while
technologies,
IoT
AI,
have
enhanced
industry’s
visibility
efficiency,
shift
towards
5.0
paradigm
introduces
human-centric
further
strengthens
through
collaboration
sustainability.
Practical
implications
study’s
practical
suggest
both
industry
academia
embracing
principles
could
significantly
enhance
resilience,
enabling
it
withstand
disruptions
better
maintain
project
quality,
timelines,
budgets
an
increasingly
complex
global
environment.
Originality/value
examines
within
chains,
novel
perspective
integrating
technologies.
Sustainability,
Journal Year:
2023,
Volume and Issue:
16(1), P. 333 - 333
Published: Dec. 29, 2023
Offshore
wind
farms
are
becoming
a
pivotal
solution
to
address
the
increasing
energy
demand
worldwide
and
reduce
carbon
emissions
achieve
sustainable
sector.
Considering
higher
operational
maintenance
cost
of
offshore
farms,
it
is
important
make
good
plan
guarantee
system’s
reliability
total
related
activities
at
same
time.
Because
planning
long-term
decision
problem
force
random,
prediction
needed
help
managers
evaluate
loss
caused
by
maintenances
be
executed
in
future.
However,
naturally
complicated,
which
much
harder
than
short-term
(e.g.,
day-ahead)
widely
investigated
literature.
In
order
overcome
this
difficulty,
we
design
deep
learning
framework
combining
variational
mode
decomposition,
convolution
neural
network,
long
memory
full-connected
network.
Using
public
data
from
city
Leeds,
accuracy
above
validated
comparing
with
other
techniques.
Then,
predicted
input
into
established
optimization
model
determining
preventive
during
predefined
period.
uncertainty
replaced
value,
can
as
mixed-integer
linear
programing
model,
only
contains
limited
variables
solved
quickly.
Lastly,
an
abundance
numerical
experiments
conducted
validate
effectiveness
proposed
based
on
some
managerial
insights
provided
about
optimal
operations
strategy.
The
research
outcome
will
greatly
promote
development
power
industry
