Sustainability,
Journal Year:
2023,
Volume and Issue:
15(15), P. 11669 - 11669
Published: July 28, 2023
In
this
article,
the
modeling
of
a
distribution
network
problem
agricultural
products
with
high
perishability
under
uncertainty
is
discussed.
The
designed
model
has
three
levels
suppliers,
centers,
and
retailers,
in
which
suppliers
can
directly
or
indirectly
meet
retailers’
demand.
Due
to
product
unpredictability,
robust
possibilistic
optimization
(RPO)
been
applied.
This
innovative
takes
into
account.
findings
show
that
increases
Supply,
distribution,
maintenance,
order
expenses
have
grown.
By
examining
rate
products,
it
revealed
that,
growth
rate,
costs
increased
according
ordering
spoilage
products.
genetic
algorithm
(GA),
whale
(WOA),
arithmetic
(AOA)
also
applied
analyze
model.
calculations
on
10
sample
problems
larger
sizes
AOA
best
performance
achieving
near-optimal
solutions.
Conversely,
WOA
lowest
computing
time
compared
other
meta-heuristic
algorithms.
Additionally,
statistical
test
results
no
significant
difference
between
average
calculation
objective
function
among
Ain Shams Engineering Journal,
Journal Year:
2023,
Volume and Issue:
15(2), P. 102386 - 102386
Published: Aug. 3, 2023
In
this
work,
the
efficacy
of
additive
manufacturing
in
revolutionizing
food
industry
is
explored
as
a
contributor
to
achieving
sustainable
development
goals
(SDG)
set
out
by
United
Nations.
The
purpose
study
assess
impact
3D
printing
mapping
it
SDGs
can
currently
achieves.
analyzes
recent
progress
various
applications
with
emphasis
on
personalized
nutrition,
waste
utilization,
and
production
complex
customized
edible
designs.
This
showcases
significant
advantages
technology
possesses
compared
conventional
routes
production.
addition,
limitations
performance
are
discussed
order
reduce
gap
between
market
demand.
Results
confirmed
that
had
direct
SDG
1,
2,
3,
7,
8,
11,
12,
13,
17
track
achieve
greenhouse
gas
emissions
mitigation
130.5–525.5
Mt
2025.
Despite
mentioned
advantages,
further
work
required
increase
sustainability
3DFP.
Journal of Business Logistics,
Journal Year:
2023,
Volume and Issue:
45(1)
Published: Sept. 25, 2023
Abstract
Researchers
and
practitioners
insist
on
equipping
supply
chains
with
the
adaptive
capability
to
return
a
more
desirable
state
after
being
disrupted.
Various
resilience
capabilities
have
been
emphasized
in
literature;
however,
limited
research
has
linked
them
phases
cultural
value
orientations.
Moreover,
preparedness
adaption
hardly
studied.
To
address
these
gaps,
we
adopted
middle‐range
theory
investigate
agri‐food
chain
(AFSC)
COVID‐19
crisis
cross‐country
setting.
Data
were
collected
from
interviews
AFSC
China
Spain,
followed
by
thematic
comparative
analyses.
The
results
indicate
that
frequently
discussed
capabilities,
such
as
collaboration,
redundancy,
flexibility,
leadership,
innovation,
implemented
across
preparedness,
response
recovery,
phases;
successful
recovery
also
depends
each
country's
A
hierarchical
orientation
generates
sense‐making
collectiveness
further
leads
synergy
all
stakeholders,
thereby
contributing
recovery.
Under
an
egalitarianism
places
self‐interest
ahead
of
group
goals,
organizations
are
encouraged
make
decisions
based
their
own
situational
understanding,
which
contributes
This
study
provides
theoretical
contributions
managerial
policy
implications.
Scientific African,
Journal Year:
2023,
Volume and Issue:
21, P. e01798 - e01798
Published: July 7, 2023
Every
nation's
economic
development
depends
heavily
on
agriculture.
Fulfilling
the
current
population's
need
for
food
is
becoming
increasingly
difficult
because
of
factors
including
population
growth,
frequent
climate
change,
and
a
lack
resources.
However,
agriculture
sector's
biggest
problems
are
trained
workers,
urbanization,
available
labour.
Automation
in
essential
to
provide
food,
fibre,
fuels
rapidly
growing
population.
Since
harvesting
critical
step
farming,
authors
present
systematic
review
machine
vision
systems
artificial
intelligence
algorithms
detecting
agricultural
produce
this
article.
The
areas
that
being
concentrated
include
systems,
sensors,
different
image
processing
utilized
detection
harvesting.
Review
various
types
sensors
used
automated
It
demonstrates
how
several
3D
methods,
which
were
obtain
position,
orientation,
point
cloud
fruit
or
crop,
function
compare
them.
Furthermore,
it
compares
deployed
precision
This
article
shows
knowledge-based
can
boost
quality.
International Journal of Production Research,
Journal Year:
2024,
Volume and Issue:
62(17), P. 6400 - 6426
Published: Jan. 31, 2024
Digital
Twins
(DTs)
hold
significant
promise
in
addressing
the
challenges
faced
by
food
supply
chains
(FSCs).
This
paper
aims
to
provide
critical
insights
into
potential
for
meet
key
of
FSC
and
establish
a
comprehensive
conceptual
framework
their
implementation.
Following
systematic
literature
review
(SLR),
study
identified
81
peer-reviewed,
high-quality
papers
published
over
last
decade
(2012–2023).
The
typology-driven
thematic
analysis
emphasises
emergent
nature
DTs
within
FSCs,
highlighting
characteristics
including
monitoring,
real-time
simulation,
scenario
analysis.
characteristics,
applications,
implementation
drivers
barriers
Twin
form
basis
novel
implementing
FSCs.
Leveraging
from
Innovation
Adoption
Theory
Technology-Organization-Environment
(TOE)
framework,
outlines
structured
five
step
process
divided
three
stages.
Notably,
technology
assessment
performance
evaluation
emerge
as
two
innovative
steps
necessary
successful
specifically,
not
previously
considered
theory.
identifies
promising
avenues
future
research.
These
findings
invaluable
guidance
researchers
practitioners
seeking
embrace
industry.
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(4), P. 614 - 614
Published: April 15, 2024
Against
a
backdrop
of
globalization,
dynamic
shifts
in
consumer
demand,
and
climate
change
impact,
the
intricacies
agri-food
supply
chains
have
become
increasingly
convoluted,
necessitating
innovative
measures
to
guarantee
security
authenticity.
Blockchain
technology
emerges
as
promising
solution,
offering
transparency,
immutability,
traceability,
efficiency
overall
chain.
This
study
aims
investigate
determinants
impacting
both
intention
use
actual
usage
blockchain-driven
chain
platforms.
To
achieve
this,
an
expanded
adapted
conceptual
model
rooted
Unified
Theory
Acceptance
Use
Technology
(UTAUT)
was
formulated
empirically
examined
through
Partial
Least
Squares
Structural
Equation
Modeling
using
data
from
175
respondents
companies
across
eight
European
countries.
Agri-Food
Supply
Chain
Partner
Preparedness
(FSCPP)
emerged
pivotal
factor
with
highest
degree
influence
on
Additionally,
results
this
offer
support
for
significant
Performance
Expectancy
(PE),
Effort
(EE),
Perceived
Trust
(PT)
intention,
while
also
revealing
positive
impact
Organizational
Readiness
(OBR)
expected
Usage
Behavior
(UB).
provides
insights
into
blockchain
adoption
within
chains,
contributing
existing
literature
extended
UTAUT
framework.
