TECH TALK
that are networked together. Across
vast distances, these machines talk
to each other, assess one another’s
capacity and coordinate with
machines in other geographies to
determine the most efficient method
to produce the order change.
Tarik Taman, General Manager IMEA, Infor
3. Industrial IoT apps
The app market for IoT has a lot of
potential, not just for revenue, but
to make IoT accessible to all sorts of
industrial companies. Just like mobile
apps took smartphones to the next
level, making them incredibly useful in
ways far beyond their original design,
IoT apps will make IoT technology
customisable and tailored for highly
specific manufacturing functions.
Already, several cloud-based
industrial IoT platforms exist. As
more customised applications
develop, look to see these platforms
become centralised data hubs that
unify what were once disparate parts
of the manufacturing and supply
chain process.
manufacturing processes, the next
step is control.
Instead of information being
pushed one way – from device to
cloud-based analytics – the reverse
flow of information enables devices
to automatically adjust their
operations based on conditions.
IoT devices won’t just be sources
of information, but interconnected,
remotely-adjustable extensions of
intelligent manufacturing.
In the end, the holy grail of industrial
manufacturing is to have a complete
feedback loop between real-time
information, analytics command and
control – sensing and responding all
via interconnected data streams.
An end-to-end, holistic vision
4. Advanced manufacturing
automation
Fully automated manufacturing
and supply chain processes are the
ultimate potential enabled by IoT.
If asset performance management,
guaranteed uptimes and custom apps
are all developments that provide
better visibility and insight into
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INTELLIGENTCIO
Picture an order change coming in
to a manufacturer. It arrives via a
cloud-based information platform,
with an approval by the production
manager. The request for changes go
straight to the factory’s production
equipment, located across the
globe. These smart machines are
equipped with chips and sensors
Big Data analytics take into
consideration the existing workload,
stress and capacity of equipment,
the final destination of the goods,
transportation costs, delivery times
and overall profitability. Then,
the entire system automatically
optimises operations and begins
altering production by pushing
control changes right to the smart
manufacturing equipment. Any
further refinements made on-the-fly
are updated across the entire supply
chain, so that stakeholders halfway
across the world immediately know
that their changes are happening.
This end-to-end, holistic vision is
what IoT brings to industry
Many companies are already
experimenting with portions of
this long-term vision. And yet, for
companies who still haven’t begun,
the biggest obstacle remains
information-sharing infrastructure.
Companies often implement systems
with their own four walls of enterprise
in mind. Sometimes, it goes further –
restricted to a department or a division.
But with today’s manufacturing being
complex and distributed, and with
80% of supply chain data residing with
trading partners, companies need to
start thinking of information flow as a
multi-division, multi-enterprise problem.
This requires creating a data
infrastructure that can connect all
parts of a manufacturing supply
chain together. Once that happens,
piloting and experimenting with
different IoT projects in smaller
chunks becomes easier.
By 2025, the total global worth of IoT
technology could reach up to $6.2
trillion. Businesses who don’t want to
lose out need to start gearing up now. ¡
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NEC Payments B.S.C (c)
Office 32 Classic Tower, Building 869,
Road 3618, Block 436, Seef, Kingdom of Bahrain
T: +973 1720 3000 E: [email protected]
Licensed and Regulated by Central Bank of Bahrain.
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