Smart Industry 2021

Smart Business Predictive Manufacturing
Manufacturing
in the Cloud
Embedded connected product
monitoring enables data
monitoring and analytics,
administration, IoT device
provisioning, and network
operations through a single
embedded board from a
cloud platform.
source ©: Tritos
source ©: Aspen Technology Inc
data into tangible business outcomes
rapidly, he says.
The concept of predictive manufacturing
effectively extends an
enterprise digital strategy. It should
help reduce costs, increase quality
and throughput, and prepare the
organization to be more agile, says
Naren Gopalkrishna, digital product
manager at GE Digital. As the organizations
mature in their predictive
manufacturing journey, several
other aspects of optimization are
driven forward, such as predicted
observations and prescriptive actionable
insights.
Organizations need to have a certain
level of digital transformation
maturity to successfully implement
38
IoT is making
predictive
manufacturing
possible.
Mats Samuelsson
CTO at Triotos
The Artificial
Intelligence of
Things transforms
raw data
into business
outcomes.
Bill Scudder
General manager for AIoT
solutions at AspenTech
the predictive manufacturing concept.
“The digital strategy should
align with the larger manufacturing
strategy and it should also consider
the business problems that must be
addressed,” says Gopalkrishna, adding
that the IT and OT teams need to
work together.
Predicting the Downsides
At Cognizant, Mehta’s view is that
predictive manufacturing is a
strong concept but implementation
is often lacking in terms of providing
sufficient volume, granularity,
quality, and information accuracy.
As an example, a temperature measurement
at the output of a process
can be effectively used to control
source ©: Tritos
quality in real time, avoiding quality
issues by retrospectively analyzing
the data. Lack of appropriate measurement
(sensory) and/or intake
frameworks would lead to the absence
of this data, or the inability to
use it even if it’s measured.
Zebra’s Wheeler says predictive
manufacturing may require investment
in visibility infrastructure to
provide real-time data plant-wide.
“Justifying this investment may
require some level of vision of the
broad uses and value of leveraging
this visibility,” he adds.
Mats Samuelsson, CTO at Triotos, a
company that builds overlay solutions
on the Amazon Web Services
(AWS) IoT cloud platform, sees the
combination of better ways of collecting
and processing data from
new IoT technologies, plus improvements
in machine learning,
analytics, and AI, as a game changer.
“They will certainly be combined
with integration of existing and new
control technologies for steady improvements
in how manufacturing
and production are planned and
operated,” he says. “The question
is which strategies enterprises will
embrace to cost-effectively seize
the opportunities, such as predictive
manufacturing, that IoT is making
possible,” he concludes.