Production
planning
managers
need
much
information
within
the
organization
to
create
best
production
plan.
This
is
scattered
throughout
organization.
The
unit
must
gather
data
from
sales
orders
and
specified
priorities,
use
capacity
assessments,
in-line
inventory
levels,
many
other
variables
develop
a
reliable
research
aims
examine
system
at
car
part
manufacturing
company,
diagnose
current
issues
in
this
area,
endeavor
hierarchical
model
AP
levels
for
company
through
mixed-integer
linear
programming
model.
Transactions on Emerging Telecommunications Technologies,
Journal Year:
2025,
Volume and Issue:
36(3)
Published: Feb. 26, 2025
ABSTRACT
Agriculture
is
a
vital
sector
that
must
operate
efficiently
to
meet
daily
dietary
needs,
manage
logistics,
and
enhance
food
production.
However,
it
faces
significant
challenges,
particularly
concerning
product
safety
within
supply
chain
management.
Addressing
these
issues
requires
the
adoption
of
advanced
technologies
ensure
transparency,
traceability,
sustainability
in
agricultural
chains.
Moreover,
maximizing
value
maintaining
consumer
trust
are
crucial
modern
practices.
Existing
methods
often
struggle
provide
transparent
information
stakeholders,
trust,
accurately
trace
origins.
To
overcome
this
study
proposes
an
innovative
approach
integrates
blockchain
technology
with
novel
Dilated
Self‐Attention‐based
TabNet
(DSA‐TabNet)
algorithm
for
The
DSA‐TabNet
utilized
quality
assessment,
leveraging
create
tamper‐proof
record
transactions
data.
This
allows
stakeholders
track
flow
products
access
critical
information,
including
storage
conditions,
transportation
details,
harvesting
cultivation
data
integrity
secure
transactions,
Practical
Byzantine
Fault
Tolerance
(PBFT)
consensus
employed.
PBFT
enhances
system's
reliability
by
preventing
fraudulent
activities
chain.
also
detects
patterns
related
quality,
enabling
early
identification
such
as
adulteration,
spoilage,
contamination.
By
learning
from
historical
data,
receive
timely
notifications,
ensuring
consumers
high‐quality
safe
products,
thereby
increasing
efficiency
reducing
losses.
effectiveness
proposed
evaluated
using
key
performance
indicators,
precision,
specificity,
F1‐score,
accuracy,
recall,
throughput,
latency.
results
demonstrate
integration
significantly
reliability,
