IIC Journal of Innovation 12th Edition | Page 29

Digital Twin + Industrial Internet for Smart Manufacturing: A Case Study in the Steel Industry
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financing the projects but also for a
strong willingness to adapt their
workflows to the new tools and train
their operators to use them.
After the initial installation of the smart
apps, continuous efforts to collaborate
with customers are needed to increase
the accuracy of the models and gather
new requirements to improve the apps.
OT and IT convergence is not only in the
customer environment but also in house;
OT experts, Data Analytic experts and
App developers (IT) need to collaborate
seamlessly in order to deliver quality
products.
Collecting and validating data from the
large number of equipment, meters and
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sensors are still the most daunting tasks
in the implementation.
We have proved that it is feasible to
deploy an industrial internet platform
with a digital twin framework in a
manufacturing environment. We have
also proved that such a platform greatly
simplifies the implementation of data-
driven smart apps. It provides a solid
foundation for adding new data-driven
smart apps for continuous optimization
of production processes.
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The views expressed in the IIC Journal of Innovation are the contributing authors’ views and do
not necessarily represent the views of their respective employers nor those of the Industrial
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November 2019