Use
of
artificial
intelligence
in
cleaner
production
proposals
Abstract.
-
This
paper
aims
to
present
a
critical
essay
on
the
importance
of
artificial
intelligence
for
companies'
future,
its
objective
of
leaving
a
positive
ecological
footprint,
and
rewarding
the
use
of
natural
resources
spent
by
industries.
Humanity
has
made
life
easier
for
everyone
with
technological
advances;
for
this
reason,
with
the
proper
research
of
accurate
data,
a
prediction
can
be
given
of
the
savings
and
other
economic
and
social
benefits
companies
will
obtain
with
artificial
intelligence
for
cleaner
production.
Keywords:
Cleaner
production,
industry
4.0,
harnessing,
big
data,
artificial
intelligence.
ISSN-E:
2737-6419
Athenea
Journal,
Vol.
4,
Issue
11,
(pp.
7-14)
Bravo B.
et al.
Use of artificial intelligence in cleaner production proposals
C
a
m
i
l
a
A
r
a
h
í
B
r
a
v
o
B
r
i
t
o
https://orcid.org/0000-0001-5527-6264
camila.bravo.brito@udla.edu.ec
Universidad
de
las
Américas
Quito,
Ecuador
Resumen:
El
propósito
de
este
trabajo
es
presentar
un
ensayo
crítico
sobre
la
importancia
de
la
inteligencia
artificial
para
el
futuro
de
las
empresas
y
su
objetivo
de
dejar
una
huella
ecológica
positiva,
premiando
el
uso
de
los
recursos
naturales
que
han
sido
gastados
por
las
industrias.
La
humanidad
ha
hecho
la
vida
más
fácil
para
todos
con
los
avances
tecnológicos;
por
esta
razón,
con
la
investigación
adecuada
de
datos
reales
consultados,
se
puede
dar
una
predicción
de
los
ahorros
y
otros
beneficios
económicos
y
sociales
que
las
empresas
obtendrán
con
la
inteligencia
artificial
para
una
producción
más
limpia.
Palabras
clave:
Producción
más
limpia,
industria
4.0,
aprovechamiento,
big
data,
inteligencia
artificial.
Uso
de
la
inteligencia
artificial
en
propuestas
de
producción
más
limpia
7
R
e
c
e
i
v
e
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(
1
3
/
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/
2
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)
,
A
c
c
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p
t
e
d
(
0
5
/
0
1
/
2
0
2
3
)
D
a
r
r
e
n
A
l
b
e
r
t
M
o
r
e
i
r
a
C
e
d
e
ñ
o
https://orcid.org/0000-0002-0241-5811
darren.moreira@udla.edu.ec
Universidad
de
las
Américas
Quito,
Ecuador
Cristina
Salomé
Toapanta
Nevada
h
t
t
p
s
:
/
/
o
r
c
i
d
.
o
r
g
/
0
0
0
0
-
0
0
0
1
-
9
2
2
2
-
0
5
9
3
cristina.toapanta@udla.edu.ec
Universidad
de
las
Américas
Quito,
Ecuador
Nicole
Germania
Toapanta
Sandoval
h
t
t
p
s
:
/
/
o
r
c
i
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.
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r
g
/
0
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0
3
-
4
9
6
2
-
3
7
3
8
nicole.toapanta@udla.edu.ec
Universidad
de
las
Américas
Quito,
Ecuador
Carlos
Joel
Yanez
Morales
https://orcid.org/0000-0002-8339-2059
carlos.yanez.morales@udla.edu.ec
Universidad
de
las
Américas
Quito,
Ecuador
https://doi.org/10.47460/athenea.v4i11.49
I. INTRODUCTION
The
environment
is
precious,
and
its
care
and
protection
must
be
constantly
encouraged
using
all
possible
tools.
All
the
objects
found
on
the
planet
come
from
nature,
so
taking
care
of
them
is
essential.
For
this
reason,
the
implementation
of
artificial
intelligence
as
a
cleaner
production
proposal
is
applied
in
different
sectors
to
improve
them,
the
environment
one
of
them,
due
to
the
high
technology
implemented
to
protect
the
other
natural
resources
necessary
for
life.
C
u
r
r
e
n
t
l
y
,
n
a
t
u
r
a
l
r
e
s
o
u
r
c
e
s
a
r
e
b
e
i
n
g
d
e
p
l
e
t
e
d
,
b
u
t
a
s
t
i
m
e
p
a
s
s
e
s
,
t
o
o
l
s
h
a
v
e
a
l
s
o
b
e
e
n
d
e
v
e
l
o
p
e
d
t
h
a
t
a
r
e
based
on
artificial
intelligence
and
that,
as
far
as
possible,
delay
the
depletion
of
these
resources
and
the
effects
they
entail.
Moreover,
while
the
development
of
technologies
has
inevitable
negative
consequences
for
the
planet,
the
advancement
of
these
technologies
has
also
brought
benefits.
A
n
e
x
a
m
p
l
e
o
f
t
h
e
i
m
p
a
c
t
t
h
a
t
a
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
h
a
s
h
a
d
o
n
t
h
e
e
n
v
i
r
o
n
m
e
n
t
h
a
s
b
e
e
n
s
m
a
r
t
a
g
r
i
c
u
l
t
u
r
e
.
The
implementation
of
automated
data
collection
has
made
it
possible
to
detect
problems
in
crops
(in
early
stages)
and
know
the
optimal
time
of
planting,
irrigation,
and
fertilization,
allowing
greater
efficiency
in
controlling
resources
such
as
water,
pesticides,
and
fertilizers.
On
the
other
hand,
the
use
of
artificial
intelligence
has
been
put
into
practice
in
respective
problems
to
reduce
air
pollution
with
the
creation
of
eco-
driving
algorithms,
route
optimization,
and
decrease
urban
transport
traffic,
as
well
as
the
establishment
of
intelligent
traffic
lights,
capable
of
reducing
the
driving
time
by
adjusting
traffic
flow.
Thus,
it
can
be
determined
that
using
artificial
intelligence
in
cleaner
production
proposals
provides
new
and
more
innovative
solutions
that
allow
us
to
fight
many
threats,
such
as
climate
change,
pollution,
and
the
health
of
the
planet's
waters.
II. Elements that prevent the creation of proposals for cleaner production
in
industry 4.0.
The
environmental
impact
generated
throughout
history
by
the
industrial
sector
is
already
quite
studied
and
known,
so
implementing
preventive
or
corrective
actions
is
increasingly
practiced
by
different
companies
that
accept
or
encourage
a
positive
environmental
culture.
This
brings
us
to
industry
4.0,
which
radically
changes
how
some
industries
operate,
making
them
more
efficient
and,
directly
or
indirectly,
reducing
the
environmental
impact.
Industry
4.0
can
be
seen
as
the
combination
of
advanced
production
techniques
and
intelligent
technologies
implemented
in
all
organizations.
The
processes
that
are
part
of
the
value
creation
chain
are
connected
through
a
digital
network.
[1].
And
in
a
certain
way,
some
factors
limit
the
use
or
implementation
of
industry
4.0
and
are
similar
to
those
that
restrict
the
creation
of
more
ecological
proposals
within
this
industry.
Economy
The
economic
factor
is
a
significant
gap
in
implementing
new
technologies,
which
limits
a
little
more
to
industry
4.0.
Although
investments
can
be
made
in
technological
systems,
increasing
investment
in
proposals
considering
the
ecological
impact
generated
has
yet
to
be
considered.
8
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Athenea
Journal,
Vol.
4,
Issue
11,
(pp.
7-14)
Bravo B.
et al.
Use of artificial intelligence in cleaner production proposals
Culture
Although
industry
4.0
brings
benefits
in
terms
of
reducing
the
environmental
impact
of
certain
activities,
we
must
also
take
into
account
the
effect
it
has,
such
as
the
production
of
materials
that
are
the
physical
inputs
of
the
systems
and
the
high
energy
expenditure
generated
by
some
hardware
in
different
industries,
but
that
is
not
something
as
visible
as
the
emission
of
CO2,
It
is
often
left
aside,
and
there
is
no
concern
about
the
e
n
v
i
r
o
n
m
e
n
t
a
l
i
m
p
a
c
t
o
f
t
h
i
s
i
n
d
u
s
t
r
y
.
I
t
s
h
o
u
l
d
a
l
s
o
b
e
b
o
r
n
e
i
n
m
i
n
d
t
h
a
t
d
e
s
p
i
t
e
i
t
s
a
d
v
a
n
t
a
g
e
s
,
e
n
e
r
g
y
c
o
n
s
u
m
p
t
i
o
n
w
i
l
l
a
l
w
a
y
s
b
e
n
e
c
e
s
s
a
r
y
and
that
traditional
electricity
will
be
dependent
until
some
alternative
is
found,
and
this
may
be
increasingly
significant
since
the
European
Commission
estimates
that
the
energy
footprint
caused
by
technology
is
between
5%
and
9%
of
world
consumption
[2].
B.
Methods
that
prevent
better
use
and
use
of
cleaner
production
Bottled
products
According
to
Eco
envases
(2020),
it
is
useless
to
consume
bottled
products.
However,
millions
consume
plastic
bottles
produced
yearly
for
product
packaging,
and
not
all
are
recycled
worldwide
to
create
new
materials.
On
the
other
hand,
most
of
these
containers
end
up
in
landfill,
which
significantly
impedes
the
use
and
use
of
cleaner
production.
In
addition,
the
unnecessary
use
of
oil
to
produce
plastic
containers
affects
the
environment
and
the
beings
that
inhabit
it.
Pesticides
Although
the
damage
caused
to
the
environment
and
animals
is
known,
millions
of
people
use
pesticides
to
cultivate
gardens
and
eliminate
insects.
Today,
numerous
natural
remedies
allow
to
keep
insects
away
and
keep
the
garden
or
plantations
cared
for
naturally,
without
harming
the
environment
or
affecting
living
beings.
That
is,
they
encourage
the
use
of
cleaner
production.
Plastic
waste
Plastic
waste
has
become
part
of
everyday
life,
the
same
that
can
be
easily
found
on
roads,
on
the
beach,
in
the
forest,
in
parks,
and
in
water
resources.
This
waste,
over
time,
has
created
plastic
islands
in
the
oceans
and
seas,
causing
the
poisoning
of
marine
animals.
Detergents
and
soaps
The
Environmental
Working
Group
in
the
United
States
has
developed
a
blacklist
of
cleaning
products
used
in
homes
that
pose
the
most
significant
risks
to
health
and
the
environment.
Both
detergents
and
soaps
are
not
recommended
because
they
have
an
antibacterial
chemical
compound
that
can
destroy
water
and
have
catastrophic
consequences
for
the
marine
environment
and
human
health.
Glass
bottles
and
cans
The
most
common
waste
on
planet
Earth
is
glass
jars
and
cans.
For
one,
glass
jars
can
become
small
animal
traps,
and
sharp
parts
(such
as
broken
glass
bottles,
aluminum
cans,
and
steel
cans)
can
cause
injury
to
wild
animals.
In
addition,
unfortunately,
there
is
much
waste
of
this
type
that
is
exposed
to
the
air,
and
that
takes
decades
to
decompose.
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Athenea
Journal,
Vol.
4,
Issue
11,
(pp.
7-14)
Bravo B.
et al.
Use of artificial intelligence in cleaner production proposals
Cosmetics
Many
countries
struggle
to
eliminate
microcontaminants
in
cosmetic
products,
such
as
toothpaste
and
body
scrubs.
These
tiny
particles
are
not
biodegradable,
as
they
are
made
of
polyethylene
or
polypropylene
and,
t
h
r
o
u
g
h
s
e
w
e
r
s
,
r
e
a
c
h
s
e
a
s
,
r
i
v
e
r
s
,
a
n
d
l
a
k
e
s
.
B
e
c
a
u
s
e
o
f
t
h
i
s
,
t
h
e
d
a
n
g
e
r
h
a
s
i
n
c
r
e
a
s
e
d
f
o
r
f
i
s
h
a
n
d
a
q
u
a
t
i
c
animals
that
ingest
the
micro
granules,
thinking
they
are
food.
C
.
B
i
g
D
a
t
a
i
s
a
w
a
y
t
o
g
e
n
e
r
a
t
e
n
e
w
p
r
o
p
o
s
a
l
s
f
o
r
c
l
e
a
n
e
r
p
r
o
d
u
c
t
i
o
n
To
know
the
viability
of
a
project,
it
is
essential
to
know
the
organization's
current
situation,
which
is
why
data
plays
a
vital
role
in
understanding
the
benefits
and
waste
reduction.
Data
is
at
the
heart
of
digital
transformation,
and
the
revolution
is
in
being
able
to
capitalize
on
it,
take
advantage
of
the
value
it
brings
to
understand
better
what
is
happening,
and,
above
all,
be
able
to
predict
w
h
a
t
w
i
l
l
h
a
p
p
e
n
a
n
d
p
r
e
s
c
r
i
b
e
w
h
a
t
s
h
o
u
l
d
b
e
d
o
n
e
.
T
h
i
s
w
i
l
l
a
l
l
o
w
t
h
e
o
p
t
i
m
i
z
a
t
i
o
n
a
n
d
g
e
n
e
r
a
t
i
o
n
o
f
business
opportunities
and
new
sources
of
income.
There
are
several
ways
to
collect
data.
However,
they
only
sometimes
treat
this
data
correctly
because
of
the
large
volumes,
variety
of
sources,
and
the
speed
with
which
it
is
generated,
known
as
Big
Data.
That
is
why
several
computational
solutions
have
been
developed
that
allow
the
treatment
of
Big
Data,
such
as
the
following
techniques
to
work
with
Big
Data[3].
10
ISSN-E:
2737-6419
Athenea
Journal,
V
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,
N
ú
m
.
1
1
8
,
(
p
p
.
7
-
1
4
)
Fig. 1.
Generation of new proposals through the application of Big Data
By
applying
these
techniques,
we
obtain
information
that,
when
interpreted
correctly,
allows
correct
decision-making.
Within
a
cleaner
production
project,
costs
can
be
reduced
because
the
information
is
obtained
from
the
workstations,
which
produce
more
waste
and
allows
alternatives,
such
as
the
reuse
of
materials
that
allows
the
best
use
of
the
raw
material
used
in
the
industry.
[4]
An
example
is
observed
in
the
aeronautical
sector
through
optimizing
aircraft
routes.
In
2019,
IATA
estimated
188,000
million
dollars
in
fuel
consumption
in
the
global
airline
industry.
Through
the
use
of
Big
Data,
it
was
possible
to
obtain
data
on
the
aircraft's
speed
and
the
influence
of
wind
direction,
with
which
they
could
establish
the
best
routes
with
a
saving
of
around
30
to
50
million
dollars.
[5]
It
is
essential
to
highlight
that
this
achievement
also
has
an
environmental
impact
by
reducing
the
emission
of
CO2
into
the
environment.
The
application
of
Big
Data
allows
us
to
identify
the
material
that
hurts
the
environment
due
to
the
use
of
chemicals
or
the
amount
of
energy
needed
to
transform
it,
opening
the
opportunity
to
look
for
new
ways
to
offer
a
similar
product
to
the
market,
optimizes
the
resources
used
in
the
process
of
adding
value,
which
will
allow
the
company
to
be
more
attractive
to
another
niche
market.[6]
Bravo B.
et al.
Use of artificial intelligence in cleaner production proposals
II.
Artificial
intelligence
and
new
proposals
for
cleaner
production.
Environmental
care,
all
the
actions
taken
to
reduce
the
deterioration
of
nature,
has
been
affected
mainly
by
the
various
companies
that
exist
worldwide.
For
this
reason,
with
the
growth
of
technology,
industries
have
found
multiple
ways
to
prevent
pollution.
One
is
artificial
intelligence,
the
algorithms
proposed
to
create
machines
that
can
perform
human
actions
[2].
Artificial
intelligence
indicates
an
era
of
enterprise
digital
t
r
a
n
s
f
o
r
m
a
t
i
o
n
.
A
l
t
h
o
u
g
h
t
h
e
i
n
v
e
s
t
m
e
n
t
r
a
n
g
e
s
f
r
o
m
$
2
0
,
0
0
0
t
o
1
,
0
0
0
,
0
0
0
d
o
l
l
a
r
s
,
t
h
e
b
e
n
e
f
i
t
s
g
e
n
e
r
a
t
e
d
b
y
this
implementation
are
the
reduction
of
operating
costs,
improved
efficiency,
and
customer
experience,
which
as
a
result,
will
obtain
greater
profitability
[3].
It
is
estimated
that
by
2030,
production
will
increase
by
16%
using
this
intelligence
[4].
That
is
to
say
that
in
the
future,
companies
will
be
obliged
to
make
use
of
machinery
with
this
type
of
technology
and
thus
maintain
a
solid
competitive
level.
Companies
are
prone
to
various
accidents,
for
example,
fires.
It
is
estimated
that
electrical
fires
cause
19%
of
business
fires,
that
is,
due
to
a
lack
of
maintenance
of
cables,
machinery,
or
electricity
services.
With
artificial
i
n
t
e
l
l
i
g
e
n
c
e
,
t
h
e
"
B
2
F
i
r
e
D
e
t
e
c
t
i
o
n
"
t
o
o
l
h
a
s
b
e
e
n
c
r
e
a
t
e
d
t
o
c
a
l
c
u
l
a
t
e
a
n
y
f
i
r
e
r
i
s
k
t
h
a
t
i
s
a
b
o
u
t
t
o
o
c
c
u
r
w
i
t
h
a
minimum
margin
of
error.
In
addition,
it
contains
algorithms
to
monitor
the
status
and
behavior
of
infrastructures
in
extreme
weather
conditions
[5].
In
this
way,
this
intelligence
contributes
to
reducing
the
carbon
footprint
and
protecting
assets.
In
Latin
America,
it
is
estimated
that
as
of
2018,
fires
in
companies
have
increased
by
8%.
With
AI,
fires
can
be
reduced
to
90%
due
to
their
level
of
accuracy
[6].
Food
waste
is
a
big
problem
for
companies
because
it
negatively
impacts
nature
and
generates
significant
economic
losses
in
stores
selling
food
and
household
products.
For
this
reason,
artificial
intelligence
has
been
developed
that
analyzes
any
food
to
determine
the
exact
period
in
which
the
food
is
no
longer
consumable
[7].
This
system
can
be
effective
in
the
food
and
beverage
industries
because
production
would
achieve
a
balance
in
terms
of
waste,
increasing
food
availability
and
reducing
the
wear
and
tear
of
natural
resources.
Globally,
1300
million
tons
of
food
are
wasted.
However,
by
implementing
artificial
intelligence,
it
can
be
reduced
by
up
to
80%
due
to
its
level
of
accuracy
[8].
As
we
know,
electricity
generation
is
a
polluting
factor,
and
using
this
energy
produces
high
amounts
of
greenhouse
gases
that
cause
climate
change
when
expelled
into
the
atmosphere.
That
is
why
one
of
the
preventions
for
environmental
care
is
to
turn
off
devices
that
are
not
being
used,
which
is
not
a
habit
among
families.
Consequently,
artificial
intelligence
also
helps
us
with
this
problem.
Machines
with
algorithms
have
been
created
that
can
diagnose
sleep
stages
by
breathing
users
for
automatic
shutdown
[9].
For
companies,
this
type
of
machine
will
be
advantageous
since
it
would
help
reduce
electricity
costs
and,
at
the
same
time,
generate
a
tremendous
ecological
impact.
This
intelligence
would
help
detect
when
the
operator
is
not
in
place,
so
the
machinery
would
not
be
used.
By
using
these
machines,
it
would
be
possible
to
reduce
at
least
5%
of
the
current
consumption
[10].
We
take
the
example
that
an
Ecuadorian
industrial
SME
has
a
consumption
of
$
250
per
month.
Therefore,
by
reducing
the
abovementioned
percentage,
the
SME
would
save
$
125.
Finally,
the
use
of
artificial
intelligence
has
a
significant
impact
on
companies
and
their
way
of
carrying
out
new
business
strategies
that
allow
implementation
of
this
machinery
throughout
the
infrastructure
so
that,
in
this
way,
optimal
results
are
achieved,
and
the
investment
is
reflected
in
greater
profitability
and
even
provide
differentiation
with
customers.
The
savings
proposals
of
the
machinery
that
have
algorithms
will
save
80%
in
electricity,
economy,
and
waste
savings.
For
this
reason,
companies
have
to
adapt
to
the
new
realities
of
being
part
of
this
new
era.
11
ISSN-E:
2737-6419
Athenea
Journal,
Vol.
27,
Núm.
118,
(pp.
7-14)
Bravo B.
et al.
Use of artificial intelligence in cleaner production proposals
III. RESULTS
For
this
point,
it
will
be
considered
a
food
company
that
makes
natural
juices,
so
it
has
a
farm
with
plantations
of
the
fruits
it
needs
for
its
production,
and
on
the
other
hand,
it
has
its
factory
in
which
the
fruits
are
processed.
Finally,
the
finished
product,
the
bottled
natural
juice,
comes
out.
For
this
cleaner
production
plan,
everything
from
plantation
control
to
processing
will
be
considered.
Then,
in
the
first
place,
big
data
will
be
used
to
collect
information
from
each
fruit.
That
is,
specific
sensors
will
be
implemented
for
each
plantation
to
collect
relevant
data,
such
as
the
ripening
time
of
the
fruit
and
the
amount
of
water
it
needs.
With
this
information,
we
can
use
artificial
intelligence
to
program
a
system
in
which
the
data
collected
is
taken
into
account
and
automate
the
frequency
of
irrigation
of
the
plantations.
On
the
side
of
sustainability,
this
will
minimize
water
consumption,
allowing
only
the
necessary
amount
to
be
used.
On
the
side
of
business
profit,
t
h
e
r
a
w
m
a
t
e
r
i
a
l
w
i
l
l
b
e
i
n
o
p
t
i
m
a
l
c
o
n
d
i
t
i
o
n
.
T
h
e
n
w
e
w
i
l
l
c
o
n
s
i
d
e
r
t
h
e
l
o
g
i
s
t
i
c
s
,
f
o
r
t
h
i
s
e
s
s
e
n
t
i
a
l
d
a
t
a
w
i
l
l
b
e
u
s
e
d
t
o
p
r
e
d
i
c
t
t
h
e
d
e
m
a
n
d
f
o
r
r
a
w
materials:
the
number
of
fruits
needed
for
production.
With
this,
it
will
be
possible
to
program
and
plan
the
planting
of
fruits
with
artificial
intelligence,
but
it
will
also
be
possible
to
determine
which
fruits
are
already
ready
to
be
sent.
By
this,
we
mean
that
the
fruits
are
already
ripe,
and
the
amount
established
by
using
big
data
is
already
available;
With
this
information,
you
can
schedule
the
transports
and
their
frequency
of
them
and
minimize
unnecessary
transfers.
On
the
sustainability
side,
there
will
be
fewer
transfers,
which
means
less
environmental
pollution,
and
the
company
will
have
fewer
logistics
costs.
Finally,
once
the
raw
material
is
in
the
factory,
big
data
will
be
used
to
recognize
quality
problems
of
the
final
product
and
within
the
process,
and
the
availability
of
the
machines
will
also
be
recognized.
In
this
way,
the
use
of
these
will
be
optimized.
Furthermore,
with
artificial
intelligence,
the
use
of
the
devices
will
be
programmed,
so
if
one
of
them
will
not
be
used,
it
will
remain
off
until
its
use
is
required.
This
reduces
the
c
o
m
p
a
n
y
'
s
e
n
e
r
g
y
c
o
n
s
u
m
p
t
i
o
n
a
n
d
e
x
p
e
n
d
i
t
u
r
e
.
I
n
c
o
n
c
l
u
s
i
o
n
,
t
h
e
s
e
m
e
a
s
u
r
e
s
w
i
l
l
r
e
d
u
c
e
t
h
e
e
n
e
r
g
y
a
n
d
w
a
t
e
r
c
o
n
s
u
m
p
t
i
o
n
o
f
t
h
e
c
o
m
p
a
n
y
'
s
p
r
o
d
u
c
t
i
v
e
a
c
t
i
v
i
t
y
b
y
o
p
t
i
m
i
z
i
n
g
p
r
o
c
e
s
s
e
s
u
s
i
n
g
b
i
g
d
a
t
a
a
n
d
a
r
t
i
f
i
c
i
a
l
intelligence.
CONCLUSIONS
-Although
the
development
of
technologies
related
to
big
data
entails
inevitable
negative
consequences,
it
cannot
be
denied
that
it
has
allowed
the
creation
of
new
and
very
good
solutions
for
the
implementation
of
cleaner
production
proposals
in
the
environment.
-Data
within
organizations
plays
an
important
role
because
it
allows
to
know
the
current
situation
of
the
processes,
however,if
the
data
are
not
treated
appropriately,
the
information
does
not
contribute
to
decision
making.
For
which
it
is
recommended
that
organizations
look
for
software
that
uses
techniques,
which
adapt
to
their
process
and
providing
the
visualization
of
management
indicators
that
allow
the
continuous
improvement
of
the
organization
by
identifying
lossesin
the
production
process.
-The
industrial
future
is
also
going
towards
automation
and
digitalization,
which
includes
industry
4.0,
in
which
many
proposals
can
be
made
guided
towards
environmental
care,
so
that
both
companies
and
governments
will
need
to
encourage
proposals
for
cleaner
production
within
the
industry
-The
industry
must
necessarily
be
supported
by
sustainable
development,
that
is,
it
must
try
to
maintain
a
balance
with
the
components
that
surround
it,
as
well
as
humans,
as
well
as
the
environment
in
which
it
develops
its
activities,
and
although
technology
has
been
a
trigger
for
this
balance
to
be
affected,
at
present,
Technology
can
also
allow
industries
to
improve
their
processes
with
an
emphasis
on
caring
for
the
environment.
This
care
is
achieved
through
cleaner
production
techniques
that
are
backed
by
technological
tools
which
allow
a
serene
coexistence
between
economic
activity
and
the
environment
that
surrounds
them.
12
ISSN-E:
2737-6419
Athenea
Journal,
V
o
l
.
2
7
,
N
ú
m
.
1
1
8
,
(
p
p
.
7
-
1
4
)
Bravo B.
et al.
Use of artificial intelligence in cleaner production proposals
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et al.
Use of artificial intelligence in cleaner production proposals
14
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2737-6419
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r
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a
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Bravo B.
et al.
Use of artificial intelligence in cleaner production proposals