Once
effective
vaccines
are
discovered
for
a
pandemic
and
initial
distribution
infrastructure,
mechanisms
implemented,
the
next
concern
is
an
optimal
vaccination
campaign
to
stop
disease
or
minimize
casualties.
This
paper
studies
optimization
of
Vaccine
Distribution
Network
(VDN)
through
single-objective
Mixed-Integer
Non-Linear
Programming
(MINLP)
model
minimizing
total
cost
in
terms
governmental
aid
(to
maintain
economy),
logistics,
vaccination,
hospitalization
costs.
The
proposed
develops
joint
vaccination-quarantine
strategy
under
equity
considerations
1)
determine
allocation
available
vaccine
stockpiles
different
population
classes
regions
2)
seek
impose
quarantine
restrictions
optimally.
was
applied
real
case
study,
network
France.
Through
comprehensive
numerical
analysis,
calculated,
impact
on
performance
investigated.
Moreover,
fractional
dosing
number
infections
examined.
results
show
that
considerations,
counter-intuitively,
lead
increased
infections.
Furthermore,
it
illustrated
helps
policymakers
control
better
limited
supply
vaccines.
Revista de Economia e Sociologia Rural,
Год журнала:
2023,
Номер
62(2)
Опубликована: Окт. 27, 2023
Abstract
The
article
deals
with
a
relevant
theme
regarding
problems
related
to
food
supply.
losses
accounted
at
production
process
and
consumer
waste
justify
research
on
the
subject.
purpose
of
this
paper
is
explain
intention
using
theory
planned
behavior
(TPB)
as
theoretical
lens.
In
addition
measuring
influence
attitudes,
social
norms,
perceived
behavioral
control
intention,
additional
constructs
were
introduced
into
model.
Affect,
planning
routines,
surplus,
environmental
concerns
incorporated
fit
logistic
regression
model,
presenting
probability
occurrence
proxy
for
waste.
An
online
questionnaire
was
developed
collect
data
from
consumers
in
Midwest
Brazil.
sample
consisted
419
responses.
As
result,
it
found
that
occurred
more
affluent
households,
fewer
number,
better
categorized
“waste
people”
by
family
friends,
less
adept
reusing
leftovers
or
saving
food.
general,
affective
memory
corroborates
desire
an
abundant
table,
making
acceptable.
This
information
useful
construction
action
plans,
public
private,
aimed
changes
Animals,
Год журнала:
2024,
Номер
14(19), С. 2865 - 2865
Опубликована: Окт. 4, 2024
Poultry
production
faces
significant
challenges,
including
high
feed
prices,
diseases,
and
thermal
stress,
which
impact
broiler
welfare
productivity.
Despite
advances
in
cooling
technologies
ventilation,
preslaughter
operations
still
lead
to
considerable
losses.
This
review
highlights
the
need
for
improved
management
of
environments
animal
logistics.
Preslaughter
typically
involve
fasting
broilers
8-12
h
reduce
gastrointestinal
contents
contamination.
Following
fasting,
are
caught,
crated,
transported.
Stress
levels
vary
based
on
distance
conditions,
with
manual
catching
often
causing
stress
injuries.
Catching
should
occur
during
cooler
periods
minimise
these
issues,
transport
conditions
must
be
carefully
managed.
Lairage,
waiting
period
after
transport,
kept
short
(1-2
h)
climate-controlled
avoid
deterioration.
Proper
handling
efficient
unloading
essential
prevent
injuries
economic
Stunning
methods,
such
as
electronarcosis
a
controlled
atmosphere,
aim
suffering
before
slaughter,
though
practices
culturally
religiously.
Logistics
real-time
monitoring
technology
crucial
enhancing
transportation.
Effective
planning
optimisation
processes
is
vital
reducing
losses,
especially
regard
rising
global
temperatures
demands.
International Journal of Information Technologies and Systems Approach,
Год журнала:
2023,
Номер
16(1), С. 1 - 18
Опубликована: Окт. 9, 2023
With
the
promotion
of
new
round
industrial
revolution,
development
environment
enterprises
has
undergone
tremendous
changes.
Collaboration
among
become
crucial
for
enhancing
core
competitiveness,
with
concept
supply
chain
playing
a
key
role.
However,
complex
and
vulnerable
nature
operation
poses
various
risks,
hampering
effective
cooperative
relationships
between
enterprises.
This
article
proposed
integrating
partial
least-squares-artificial
neural
network
(PLS-ANN)
method
to
address
this
issue
optimize
collaborative
enterprise
practices.
The
study
examined
collaboration
optimization.
uses
used
artificial
(ANN)
classify
data,
implement
an
intelligent
algorithm
model
synchronous
processing,
combine
least
squares
(PLS)
process
data
information
generated
by
networks
find
best
match,
minimizing
negative
impact
multiple
correlations
variables
on
collaboration.
An
empirical
analysis
was
conducted
in
2022,
focusing
manufacturing
enterprise's
external
cooperation
management.
two
aspects:
chain's
risk
resistance
level
effectiveness
cooperation.
Results
showed
that
after
implementing
PLS-ANN
model,
average
trust
index
eight
partners
increased
approximately
0.652,
compared
initial
only
0.528.
Detailed
indicated
effectively
improved
capability
while
optimizing
all
participating
Once
effective
vaccines
are
discovered
for
a
pandemic
and
initial
distribution
infrastructure,
mechanisms
implemented,
the
next
concern
is
an
optimal
vaccination
campaign
to
stop
disease
or
minimize
casualties.
This
paper
studies
optimization
of
Vaccine
Distribution
Network
(VDN)
through
single-objective
Mixed-Integer
Non-Linear
Programming
(MINLP)
model
minimizing
total
cost
in
terms
governmental
aid
(to
maintain
economy),
logistics,
vaccination,
hospitalization
costs.
The
proposed
develops
joint
vaccination-quarantine
strategy
under
equity
considerations
1)
determine
allocation
available
vaccine
stockpiles
different
population
classes
regions
2)
seek
impose
quarantine
restrictions
optimally.
was
applied
real
case
study,
network
France.
Through
comprehensive
numerical
analysis,
calculated,
impact
on
performance
investigated.
Moreover,
fractional
dosing
number
infections
examined.
results
show
that
considerations,
counter-intuitively,
lead
increased
infections.
Furthermore,
it
illustrated
helps
policymakers
control
better
limited
supply
vaccines.
