Processes,
Год журнала:
2024,
Номер
12(9), С. 1867 - 1867
Опубликована: Авг. 31, 2024
The
deep
integration
and
innovative
development
of
the
logistics
manufacturing
industries
(LMDIIs)
are
crucial
for
reducing
costs,
increasing
efficiency,
advancing
manufacturing.
To
assess
level
performance
LMDIIs,
we
construct
an
evaluation
index
system,
calculate
weights
using
CRITIC
method,
measure
comprehensive
LMDIIs
TOPSIS
method.
We
evaluate
coupling
coordination
conduct
a
ridge
regression
analysis
their
performance,
Anhui
Province,
China,
as
case
study.
results
show
that
in
Province
is
low.
highest
values
from
2013
to
2022
indicate
great
potential.
fluctuating
upwards,
degree
growing
slowly.
impact
coefficients
on
digital
intelligence
industry
profit
levels
two
significant
promoting
effect.
However,
coefficient
low-carbon
transformation
negative,
indicating
restraining
Hence,
propose
countermeasures
suggestions
further
promote
provide
theoretical
methodological
support
research
management.
Journal of Global Operations and Strategic Sourcing,
Год журнала:
2024,
Номер
unknown
Опубликована: Март 22, 2024
Purpose
The
logistics
industry
has
undergone
a
tremendous
transformation.
This
transformation
is
necessary
to
cope
with
the
fundamental
changes
in
customer
expectations
and
need
for
digitalization
imposed
by
pandemic,
socioeconomic
world,
innovative
technology
solutions.
paper
aims
present
digital
as
an
integrated
framework
transforming
operating
model
applying
advanced
solutions
ecosystem
of
quintile
(5PL)
company.
5PL
operators
are
typically
ecosystem.
Loosely
coupled
or
self-organized
entities
that
collaborate
symbiotic
relationship
represent
this
They
aim
jointly
develop
capabilities,
create
services
solutions,
share
knowledge,
facilitate
transactions,
leverage
network
synergies
environment
provide
optimized
novel
customer-
partner-centric
(Lamberjohann
Otto,
2020).
Design/methodology/approach
Currently,
there
no
single
definition
operations
practice,
so
qualitative
method
used
allows
investigation
from
exploratory
perspective.
follows
research
methodology,
collecting
analyzing
data/facts
through
interviews
visits
subject
matter
experts,
practitioners,
academic
researchers,
combined
extensive
review
publications,
reports,
written
media
content
established
organizations
marketplace.
it
inquiry
rather
than
statistical
study.
study
concepts
phenomena
definitions,
their
characteristics,
defining
features
serve
basis
(Berg,
2007).
It
emphasizes
generalized
interpretation
deeper
understanding
concepts,
which
would
be
more
difficult
quantitative,
statistically
based
research.
Fact-finding
was
conducted
two
ways:
in-depth
experts
academia,
information
communication
organizations,
key
players
industry;
national
international
market.
Findings
introduced
considers
six
aspects:
persons,
processes,
platforms,
partners,
protection
preservation.
A
virtual
team
approach
can
support
personal
side
ecosystem’s
Managing
should
on
collaborative
planning,
forecasting,
replenishment
methods
(Parsa
et
al.,
platform
trust
among
stakeholders
blockchain
solution
powerfully
partner
relationships’
points
view.
implementation
cybersecurity
reference
important
(Bandari,
2023).
Reverse
preservation
Research
limitations/implications
While
author
experience
different
components
presented,
interesting
find
use
all
presented
way.
applies
any
similar
minor
adaptations.
Practical
implications
addresses
models
challenges
optimizing
operators.
provides
several
opportunities
considerations
interested
improving
management
growing
today’s
world.
Social
competitiveness
long-term
performance
depend
selecting
carefully
implementing
models.
importance
using
Originality/value
derives
author’s
experiences
application
these
(DHL,
UPS,
Poste
Italiane
others).
brings
together
perspectives
business
defines
original
optimal
operator
add
sustainable
value
society.
In
doing
so,
outlines
requirements,
critical
success
factors
logistical
objectives
when
Cyber-physical
Systems
involve
the
creation,
continuous
updating
and
monitoring
of
virtual
replicas
that
closely
mirror
their
physical
counterparts.
These
representations
are
fed
by
real-time
data
from
sensors,
Internet
Things
(IoT)
devices
other
sources,
enabling
a
dynamic
accurate
reflection
state
system.
This
emphasizes
importance
synchronization,
visualization
interaction
within
environments
as
means
to
improve
decision-making,
training,
maintenance
overall
operational
efficiency.
paper
presents
novel
approach
cyber-physical
system
harness
power
Industry
4.0,
Digital
Twin
technology,
Virtual
Reality
(VR)
3D
SCADA
in
context
optimizing
an
olive
mill.
In
conclusion,
this
methodology
leverages
digital
twins
reality
create
immersive,
data-driven
simulation
for
The
proposed
CPS
takes
environment
through
existing
sensors
measurement
elements
mill,
concentrates
them
exposes
Open
Platform
Communication
United
Architecture
(OPC-UA)
protocol,
thus
establishing
bidirectional
communication.
Furthermore,
environment,
twin
is
interfaced
with
system,
allowing
it
models
process.
innovative
has
potential
revolutionize
oil
industry
improving
efficiency,
product
quality
sustainability,
while
practices.
International Journal of Production Research,
Год журнала:
2025,
Номер
unknown, С. 1 - 21
Опубликована: Март 19, 2025
Digital
services
play
a
crucial
role
in
enhancing
manufacturing
competitiveness
by
enabling
differentiation,
flexibility,
customisation,
and
improved
performance
through
advanced
technologies
such
as
the
Industrial
Internet
of
Things
Cyber-Physical
Systems.
While
data-driven
production
logistics
(PL)
increasingly
adopts
these
to
optimise
operations,
challenges
persist
effectively
leveraging
digital
enhance
performance.
This
study
proposes
value-oriented
service
framework
for
PL,
integrating
principles
value
proposition
development
creation.
Complemented
system
architecture,
identifies
defining
characteristics
provides
blueprint
effective
monitoring.
Empirical
results
from
case
on
material
handling
commercial
vehicle
demonstrate
significant
improvements
PL
metrics,
including
enhanced
on-time
delivery
energy
efficiency.
offers
practical
guidance
managers
seeking
design
implement
that
operational
monitoring
decision-making
PL.
Energies,
Год журнала:
2025,
Номер
18(8), С. 1894 - 1894
Опубликована: Апрель 8, 2025
Computer
simulations
of
processes
are
increasingly
used
in
business
practice
to
improve
the
results
an
enterprise
and
maximise
its
value.
Designing
process
models
simulating
their
behaviour
provide
opportunity
analyse
economic
operational
before
appropriate
organisational,
location,
investment
decisions
made.
This
article
presents
possibilities
using
simulation
modelling
intralogistics
systems.
In
presented
article,
a
decision-making
support
tool
based
on
DES
simulator
developed
by
authors
was
proposed.
supports
analysis
parameters
that
affect
energy
efficiency
analysed
sustainability.
The
proposed
were
giving
example
implementation
automation
processes.
As
part
implementation,
use
Autonomous
Mobile
Robot
(AMR)
vehicles
By
conducting
experiments
system
model
analysing
obtained
also
terms
consumption
AMR
vehicles,
project
can
be
verified
improvements
this
research
confirmed
possibility
for
supporting
assessing
designed
system.
method
is
cost-free
element
helps
management
staff
given
make
decisions.
Journal of Computing and Information Science in Engineering,
Год журнала:
2025,
Номер
25(8)
Опубликована: Апрель 16, 2025
Abstract
While
digital
twin
(DT)
has
made
significant
strides
in
recent
years,
much
work
remains
to
be
done
the
research
community
and
industry
fully
realize
benefits
of
DT.
A
group
25
professionals,
US
federal
government
researchers,
academics
came
together
from
11
different
institutions
organizations
identify
14
key
thrusts
3
cross-cutting
areas
for
further
DT
development
(R&D).
This
article
presents
our
vision
future
R&D,
provides
historical
context
DT’s
birth
growth
as
a
field,
examples
DTs
use
lab,
discusses
current
state
research.
We
hope
that
this
serves
nucleation
point
R&D
efforts
with
shared
trajectory
collectively
advance
so
society
can
more
rapidly
see
