Digitalization of Manufacturing and Industry 4.0 has a
strategic importance not only for private organizations but also for the
governments of all countries worldwide. After realization of the fact that, the
way to create power to compete with the production costs, especially in the
Asian region, in the local production network can be achieved through
digitalization of production, digital industrialization steps have been taken in
many countries.
KoçDigital manufacturing analytics solutions collect field data from systems
such as SCADA, PLC, DCS and process them using artificial intelligence
algorithms. It contributes to the improvement of the production process by
revealing the relationships between parameters. Thus, it helps to identify the
factors that will cause financial losses such as unexpected downtime or quality
problems in advance. It provides guidance for taking necessary actions to
eliminate these problems. As a result, while the production quality increases,
the cost decreases.
Check out our research conduct by IDC: Transformation
into the "Factory
of the Future".
In our country, where the automotive and durable
consumption sectors lead in manufacturing leg; we have the competitive
manufacturing facilities in sectors such as Chemistry, Plastic, Metal Industry,
Wood and Paper. Interruptions in supply chain brought Turkey to the fore due to
its features such as market presence, experience, predisposition to work for
international markets. In order to take advantage of this opportunity and gain
competitive advantage in manufacturing, digital transformation is critical from
manufacturing lines to inventory management.
Manufacturing Analytics Applications;
- By modeling the relationship between manufacturing quality and energy
consumption, it is possible to calculate the required process set values for
optimum quality production with minimum energy consumption.
- By modeling the relationship between quality problems, ambient conditions and
process parameters, it can be ensured that quality problems are predicted in
advance and the causes are eliminated.
- By modeling the relationship between coating thickness and production line set
values in a galvanizing line, coating variation and thus manufacturing cost can
be reduced.
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