Assessing Lean 4.0 critical success factors (CSFs) for implementing in small and medium-sized enterprises (SMEs)
Karishma M. Qureshi,
No information about this author
Bhavesh G. Mewada
No information about this author
Frontiers in Engineering and Built Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 22, 2025
Purpose
The
present
research
identifies
and
prioritizes
the
critical
success
factors
(CSFs)
for
Lean
4.0
(L4.0)
implementation
in
small
medium
enterprises
(SMEs).
L4.0
integrates
principles
with
Industry
(I4.0)
technologies,
instance
wireless
networks,
Internet
of
things
(IoT),
big
data,
cloud
computing
(CC),
etc.,
offering
significant
opportunities
to
enhance
operational
efficiency
by
reducing
non-value-adding
activities.
Design/methodology/approach
This
adopts
“Fuzzy
Decision-Making
Trial
Evaluation
Laboratory
(FDEMATEL)”
methodology
examine
assess
connections
between
CSFs
implementation.
Data
were
gathered
from
SMEs
using
qualitative
quantitative
approaches
ensure
comprehensive
insights
into
enablers
adoption.
Findings
study
Top
Management
Support
Commitment,
Employee
Training
Financial
Capabilities
as
most
important
adoption
SMEs.
These
significantly
impact
process,
providing
actionable
SME
leaders
overcome
challenges
optimize
strategies.
Originality/value
contributes
growing
knowledge
highlighting
key
relevant
SMEs,
a
sector
often
constrained
resources
but
crucial
economic
development.
findings
provide
practical
roadmap
entrepreneurs
achieve
excellence
competitiveness
through
effective
Language: Английский
Artificial intelligence applications for information management in sustainable supply chain management: A systematic review and future research agenda
International Journal of Information Management Data Insights,
Journal Year:
2024,
Volume and Issue:
4(2), P. 100292 - 100292
Published: Sept. 30, 2024
Language: Английский
Analysing Lean 4.0 Adoption Factors Towards Manufacturing Sustainability in SMEs: A Hybrid ANN-Fuzzy ISM Framework
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 10, 2025
Abstract
Manufacturing
industries
across
the
globe
are
undergoing
a
digital
transformation
that
demands
both
efficiency
and
sustainability.
Industry
4.0
(I4.0)
Lean
(L4.0)
methodologies
have
become
focal
points
in
these
efforts.
Despite
widespread
recognition
of
benefits
integrating
L4.0
I4.0,
more
studies
need
to
address
practical
challenges
this
integration,
especially
key
factors
influence
its
successful
implementation.
Small
medium-sized
enterprises
(SMEs)
emerging
economies
often
face
significant
practices
due
resource
limitations
complex
operational
challenges.
This
study
bridges
critical
research
gap
by
proposing
an
integrated
framework
combines
Artificial
Neural
Networks
(ANN)
with
fuzzy
Interpretive
Structural
Modeling
(FISM)
identify
prioritise
success
(CSFs)
for
adoption.
A
survey
216
manufacturing
SMEs
was
used
validate
CSFs
through
Exploratory
Factor
Analysis
(EFA).
The
ANN
analysis
revealed
Process
Factors
highest
normalised
importance
(NI)
100%,
followed
Organizational
(NI
=
60.46%),
Human
58.93%),
Technological
43.21%),
External
42.13%),
Environmental
39.63%).
Complementary
FISM
Cross-Impact
Matrix
Multiplication
Applied
Classification
(MICMAC)
analyses
further
structured
relationships,
underscoring
roles
Change
Management,
Culture,
Waste
Reduction,
Regulatory
Compliance.
These
findings
offer
theoretical
advancement
understanding
CSF
interactions
guidance
striving
achieve
sustainable
practices.
Language: Английский
Unlocking Net-Zero Supply Chain Performance System Through Life Cycle Assessment: Empirical Evidence from Rubber Industry
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(21), P. e39944 - e39944
Published: Oct. 30, 2024
Language: Английский
Sustainability in Industry 4.0: Edge Computing Microservices as a New Approach
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(24), P. 11052 - 11052
Published: Dec. 17, 2024
The
importance
of
the
electronics
sector
in
modern
world
is
unquestionable,
as
it
demonstrates
clean
technology,
dry
processes,
and
efficient
design,
which
favor
Industry
4.0
sustainability.
Nonetheless,
large
number
instruments
developed,
their
correspondent
quick
obsolescence,
imply
an
increment
electronic
waste.
Therefore,
this
work,
with
aim
diminishing
we
developed
customized
one
application
that
runs
independently
systems
takes
advantage
existing
computing
structures.
a
new
edge
structure
(the
AIFC)
based
on
enterprise
service
bus
(ESB)
decentralized
microservices.
In
study,
conducted
action
research
involving
collaboration
researchers
practitioners,
tests
involved
six
different
scenarios;
they
used
low-cost,
basic
environments
ranged
from
proof
concept,
prototype,
minimum
viable
product,
scalability
to
roadmap
for
implementation.
scenarios
emulated
sections
small
medium-sized
(SME),
all
microservices
communicate
each
other
perform
data
filtering,
processing,
storage,
query,
sensor
acquisition.
results
show
possible
carry
out
these
functions
low
latency
without
any
decrement
or
even
increase
performance
when
compared
more
conventional
cloud
structures,
also
manipulate
products
do
not
have
single,
consolidated
Moreover,
there
no
need
update
machines
communication
are
main
factors
rapid
obsolescence.
following
steps
AIFC
development,
concept
product
correspond
sustainable
solution
important
tool
both
SMEs.
Language: Английский