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Discover Digital Transformation Enablers

Jan. 27, 2021
Differentiating between normal and abnormal equipment behavior and detecting specific patterns that lead up to failures enhance capabilities for predictive maintenance.
Special Report: Instrumentation Underpins the Drive to Digitalization

Download this special report now. 

Manufacturing continues to evolve. Indeed, we are currently in the stage referred to as Industry 4.0 -- a term coined by the German government in a national strategy to promote the computerization of manufacturing that exemplifies the fourth industrial revolution on the way to an internet of things (IoT), data and services.

Like any journey, the path to Industry 4.0 should start with a map. From both strategic and technological perspectives, a company adopting these technologies must visualize every step on the route toward a digital enterprise.

Plants increasingly are turning to machine learning (ML) and artificial intelligence (AI) to recognize precise patterns in sensor data. The technologies ease differentiating between normal and abnormal equipment behavior and also detecting specific patterns that lead up to failures — and, so, enhance capabilities for predictive maintenance.

However, digital transformation plans often overlook measurement instruments or simply look at them as a number. But certain types of instruments could actually be digital transformation enablers.

What cannot and is not measured, cannot be improved. Any data-driven approach for continuous improvement in manufacturing requires definition, ongoing tracking, and reporting of key performance indicators (KPIs) against targets.

To help you along your way, Chemical Processing and Yokogawa have put together a Special Report: Instrumentation Underpins the Drive to Digitalization.

Download the special report now.

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