IIoT, Interviews, Smart Manufacturing, Uncategorized

How to Boost Manufacturing Excellence with an AI-based Digital Twin


ScaleUp 360° Industry of Things is the digital gathering for executives who play an active role in the Industrial Internet of Things scene. On November 21-22, 2019, ScaleUp 360° presents webinars on technologies & business strategies for scalable, secure and efficient IoT.
In the run-up to the 2019 ScaleUp 360° Industry of Things, we.CONECT spoke with  Oleg Savin, Expert\Architect for Smart Manufacturing\Digital Enterprise from NLMK about developments in the field of Industrial IoT and AI based Digital Twins.

we.CONECT: The pop in your job – you work as Expert\Architect for Smart Manufacturing\Digital Enterprise at NLMK– which tasks would you highlight as particularly interesting? What is most exciting about your role?

Oleg Savin: Funny, but this is the right expression – “pop in your job” – for this case. I would point out with this connection to another meaning of the “pop” – rubbish or absurdity since the model I am suggesting might be characterized at first glance by these words.
But if joking apart the most interesting task is to develop such a pragmatic model that serves as core functionality to be used in granulated Digital Twins with purpose to manage the entire value chain especially in its manufacturing part.

The required type and properties of this model are determined by the challenges to meet: operating manufacturing environment in its entirety as synergetic object and providing for the tool for manufacturing staff to operate the fragments of manufacturing environment of their responsibility on base of knowledge and self-consistent.

we.CONECT: Conversations on IoT have truly shifted over the past 5 years, from hype to implementation use cases. Where do you stand on your Digital Transformation journey?

Oleg Savin: We do not have an issue with IIoT since it is not the main problem on the Digital Transformation journey currently.
The matter is that there are no cyber physical systems or machines that are equipped with IIoT protocols in our manufacturing area. It is more important that the digital platform implementing relevant models are ready to work with these CPS and appropriate protocols when they come. For the time being, we have to struggle to collect data into the common data space from the existing disparate data sources and legacy systems, arrange and process it. That is huge amount of data.

we.CONECT: You have been working on AI-based Digital Twins in manufacturing. What were the most important drivers of your project?

Oleg Savin:
Frankly speaking, this driver could be designated as ambitious engineering task under consideration of above challenges to respond. If the project succeeds that could be a new paradigm in operation of the manufacturing environment.
However, I trust great Einstein – “The idea is despaired if it does not look as absurd”.

we.CONECT: What were the biggest challenges so far? And where do you see particular success in achieving the project goals?

Oleg Savin: We have to meet two major challenges on the track of Digital Transformation journey. The systems belonging to MES\MOM class could never be used as a full-fledged tool to operate the manufacturing environment in its entirety, if by operation we mean forecasting process assessment by objective functions in real time followed by measures aimed to stabilize the process and make it sustainable.

Another challenge is awareness that IT technologies do not provide competitive advantages themselves since these advantages arise only as result of their effective usage. The matter is that if earlier the maturity of IT technologies was a barrier nowadays the main obstacle is the capability of the staff in manufacturing area to use the relevant models effectively.

Hence, it is not sufficient to develop the relevant models that implement the manufacturing environment in its entirety. We have also to alter the motivation and production culture of OT staff in the aspect of awareness that data and knowledge is now the main driver to achieve manufacturing excellence.
However, this is not a mere improvement of MES\MOM functionality i.e. supplemented by the models. This is transition into new reality similar like a caterpillar becomes a butterfly.

we.CONECT: At the 2019 ScaleUp 360° Industry of Things, you will be presenting one of the models based on AI. What can the participants expect from your session?

Oleg Savin: Actually, presentation and explaining the AI based Digital Twin implementing cognitive computational model and namely,
– Why the synergetic approach is applied and appropriate
– What kind of AI is meant and how it works
– How AI based cognitive computational model contributes to achievement of manufacturing excellence.

we.CONECT: Thank you, Oleg, for taking the time!

Join Oleg Savin’s webinar at the 2019 ScaleUp 360! Industry of Things

About Oleg Savin:

Oleg Savin has extensive practical experience in project management, business analysis, design, development, and roll out of automated systems of MES\MOM level, integration of DCS\MES\ERP in industries with critical infrastructure – gas transportation, petrochemical processing, energy facilities, metallurgy, food production, thermonuclear Fusion Process.

His main areas of interest  li in design, development and implementation of the cognitive models in the process industry aimed at estimation and control of production efficiency in real time and elimination of process variations, improvement of major production and business KPIs.

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