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us running numbers and formu-
lae every single time we had to
make a new decision? Well, this
is where harnessing the power
of AI makes a difference.
Nikhil Rabindra, Head, Smart-
Fix 4.0, says, “The most common
form of AI in Industry 4.0 is Ma-
chine Learning which functions
primarily in two ways—classi-
fication and regression. While
both forms need prior data to
Source: Yamazaki Mazak India Pvt Ltd Classification gives a of tool used
train the model, the outputs vary.
qualitative
output. Some examples could be
that
raw vibration
sensor data
type
can
detect the
of computer
use
plotted
or the
“Mazak controllers use based on the nature of the graph
3D models, CAD data, and vision where a camera can look While
AI-enhanced machining process at a component and identify all having the
selection to automatically the parts assembled to ensure
program parts in MAZATROL. ability to
For our machine spindles, the quality of the final product. observe
we utilize AI technology to Regression is when the output operations
optimize cutting conditions is quantitative. A couple of good remotely
by monitoring spindle vibration
and adaptively altering cutting regression examples are: OEE is exciting,
technology (Feeds & Speeds) calculation for your shop floor there is a
to remove the vibration. With based on the historical data col- high value
optimum processes achieved, lected or even the ability to pre- in creating
the cutting technology the ability
characteristics for the tool are dict how much more life is left
stored in the MAZATROL or in a tool by checking the gradual to have a
EIA (NC) program.” feedback
increase in the power consumed
Anil Bhardwaj as well as higher vibration sig- mecha-
Managing Director nism for
Yamazaki Mazak India Pvt Ltd nals caused as the tool begins to remotely
get blunter.” controlling
real-time play-by-play report Machine Learning is just one various
of what is happening at one’s strand of AI leveraged by In- entities.
al bots on e-commerce sites, plant while being miles away dustry 4.0. However, the scope
e-mail spam filters, or Netflix from all the action. for AI in manufacturing is a
and Amazon recommenda- While having the ability to lot more. The ability to predict
tions, AI has infiltrated almost observe operations remotely is various individual aspects still
everything we do. exciting, there is a high value needs a lot of human interven-
in creating the ability to have a tion to triage all predictions to
Manufacturing and AI feedback mechanism for remote- optimize both process and qual-
In manufacturing, AI has ly controlling various entities. ity. The true power of AI can be
made its presence felt with Whether shutting down a ma- felt when data-driven decisions
Smart machines and Smart chine in the extended down- are made all through the supply
factories. Industry 4.0, or time to save electricity or in- chain. Imagine the tool wear ex-
the Fourth Industrial Revo- creasing the depth of a cut for a ample from before can also lead
lution, allows manufactur- brand-new tool to gain precious to automating the depth of cut
ers to have cyber-physical minutes in production, Indus- setting on the machine when
systems that enable us to have try 4.0 has truly been thriving. there is a time crunch. That,
digital twins of anything that But we then begin to ask our- in turn, predicts the cost of re-
has an electric pulse on the selves, how much of this could quired inventory, which can be
shop floor, be it a machine, just have been calculated and integrated directly into the ERP.
drill, or fixture; one can get a predicted in seconds instead of All one has to do then is log in

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