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ENGINEERING
REVIEW TECH INNOVATION

How Data Solves Many

Industrial Problems

This article will discuss Digital transformation technologies and their roles in the digitalization of the factory floor,
the application of data analytics and analytical technologies to solve complex industrial problems, and optimizing
the production process through data-driven policies.

efore the introduction of Industrie or implementing a data-driven plant help ensure visualization of captured or
4.0, industrial data was collected performance optimization strategy. analyzed data becomes a more simplified
Band used to support the inventory To better capture data from diverse process. While digital transformation has
management process, calculate overall industrial operations, the application solved the data-collection challenges
equipment efficiency, and determine of digital transformation technologies that the industrial sector faces, it has
revenue generation numbers or profit. is required. With digital tools, every brought about a new challenge: what do
With the advent of Industrie 4.0, aspect of a factory’s operations can be we do with all these large data sets?
capturing factory-floor data has become measured, and the captured data can
one of the most important aspects of be analyzed to gain further insight into Deploying data-analytics
industrial operations. Captured data these processes. Digital tools refer to technologies to solve industrial
is required in the digitalization of the technologies that can capture, store, problems
factory and in implementing Industrie or process data. Digitalization of the Statistics show that approximately
4.0 business models. factory floor involves the inclusion of: 73% of captured data goes unused.
IIoT devices to monitor equipment, edge In many cases, the underutilization of
The digital transformation in the devices to store and process information, data is due to the absence of a clear
industrial sector and the everyday personal computer to vision of which processes need to be
Optimizing industrial processes starts continuously assist operations. optimized and having no defined plans
from understanding the current status Advancement in data-capturing when deploying data-capturing tools.
of the production line or factory-floor technologies and the equipment in Thankfully, Industrie 4.0 business models
operations. Although throughput data, industrial shop floors means that the or concepts provide clear-cut ideas
operator working hours, and scrappage modern factory floor is now flush with concerning the application of factory-
rates have been used to define industrial data due to the deployment of digital floor data.
processes, they are inadequate for transformation technologies. Data Captured data from the digitalization
developing predictive analysis models visualization solutions such as web HMIs of the factory can be deployed to

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