Sustainable Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 19, 2024
Abstract
This
qualitative
case
study
investigation
highlights
deeply
entrenched
sustainability
challenges
within
a
multi‐tier
supply
chain
of
developing
country's
crop
agri‐food
sector.
Focusing
on
the
rice
chain,
reveals
how
Agri
Processing
Company
Limited
(APCL),
operating
as
first‐tier
intermediary,
effectively
launched
and
managed
different
levels
intermediaries
through
‘multi‐actor’
‘multi‐level’
management
approaches
to
extend
upstream
in
especially
lower‐tiers
previously
considered
‘commodities
with
no
value’.
Social
networking
progressive
farmers
played
inclusive
roles
change
agents
bringing
all
stakeholders
traditional
fragmented
into
coordinated
platform.
The
bottom‐up
strategic
approach
APCL
gained
trust
local
buying
firms,
resulting
sustainable
business
strategy.
Increased
collaboration
at
farming
communities
led
transformed
methodology
for
development
intermediaries.
structure
mediated
governance
‘multi
actors’
chains
revamped
socio‐ecological
outcomes
improved
living
conditions
economic
fairness
equal
opportunities.
transformation
contributed
significant
advances
Pakistan's
industry
towards
development.
Platforms,
Journal Year:
2025,
Volume and Issue:
3(2), P. 6 - 6
Published: April 9, 2025
Efficient
supply
chain
management
(SCM)
is
essential
for
enterprises
seeking
to
enhance
operational
efficiency,
reduce
costs,
and
mitigate
risks
while
ensuring
product
quality
customer
satisfaction.
Addressing
concerns
within
the
proactively
helps
minimize
rework,
recalls,
returns,
leading
significant
cost
savings
improved
profitability.
This
study
presents
a
machine
learning
(ML)-driven
predictive
analytics
framework
designed
forecast
defect
rates
optimize
control
processes.
The
research
leverages
dataset
sourced
from
real-world
fashion
beauty
startup,
hosted
in
public
repository.
employs
advanced
ML
algorithms,
including
extreme
gradient
boosting
(XGBoost),
support
vector
machines
(SVMs),
random
forests
(RFs),
accurately
predict
derive
actionable
insights
optimization.
Results
demonstrate
effectiveness
of
improving
management,
enabling
rates,
return
on
investment
(ROI).
proposed
be
scalable
transferable,
adaptability
across
various
industries,
fashion,
e-commerce,
manufacturing.
These
findings
underscore
economic
benefits
integrating
into
control,
offering
data-driven,
proactive
approach
achieving
high-efficiency,
high-quality
operations.
