Opcenter embraces data analytics for discrete and process industry

By Alessandro Cereseto

The manufacturing industry is undergoing a digital transformation, and data analytics is playing an outsized role.

Industry 4.0 smart manufacturing solutions have made it possible to harness the massive amounts of data that machines and equipment produce every day during normal operations.

Sensors collect valuable machine, operational, and system data. The data is then sent, using Industrial Internet of Things (IIOT) technology, to cloud-based analytics software.

Manufacturers can use data analytics to spot trends that help them make better decisions regarding maintenance, quality, and planning. They are able to make those decisions faster than ever before with all the data organized in a centralized location.

When combined with a manufacturing execution system (MES), manufacturers can accelerate their business and their production processes.

See what Opcenter Intelligence can do

Data Driven Manufacturing

Manufacturing big data can be leveraged to produce faster, more reliable machines, increase production line efficiency, and enable more automation across the entire organization.

Faster, more reliable machines

When machine and equipment manufacturers have transparency into how their product is being used on a day-to-day basis, they can compare how the machine is being used versus how it was designed. Access to this data can provide valuable insight into how the next iteration of a specific machine is built.

Combining this data with simulation software and the digital twin, manufacturers can use closed-loop validation to design and build a faster, more reliable next-generation machine.

Additionally, when a manufacturer knows, through data analytics, exactly how a machine is operating, they have a better understanding of the regular wear and tear individual parts experience, which can provide more accurate predictive maintenance. Machine or entire production line shutdowns can be planned for the most optimal time, and maintenance can ensure all the right parts are ready.

Increase production line efficiency

It’s already challenging enough to see and understand all the inner workings of today’s complex machinery. An entire production line is exponentially more complex.

Data analytics can help make sense of everything and increase visibility with production-related data, whether it’s order numbers, personnel, materials, or something else entirely.

Opcenter can analyze different process variables and help to discover data trends. With an unobstructed view of the production line, manufacturers can find ways to rework scrap materials or gain insights into the true cost of production.

And with complete data analytics view of the whole production line, manufacturers can react more quickly to production issues, which reduces downtime.

How manufacturers can benefit from data analytics

Data analytics provides real-time awareness for manufacturers.

When decision-makers can move faster with more accurate information derived from data analytics, companies are more competitive, customer satisfaction rises, product quality improves, and overall efficiency throughout the organization increases.

Pull data reports using Opcenter, a Manufacturing Execution System from Siemens.

As manufacturers gain a better understanding using available data analytics, the possibility for improvements is endless, ranging from improved energy efficiency to safer work environments and everything in between. Taking the first step toward harnessing data analytics can be a daunting one, but the end result – the digital factory and all its rewards – are well worth the journey.

Want to learn more? Opcenter Intelligence is a modern enterprise manufacturing intelligence solution targeting the current and future transformational technologies that are shaping the future of data analytics for manufacturing: mobile internet, cloud computing and advanced analytics. See more…

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This article first appeared on the Siemens Digital Industries Software blog at