The Future of Manufacturing with Data Analytics and Machine Learning

The Future of Manufacturing with Data Analytics and Machine Learning

For decades, industrial control systems have been generating enormous volumes of data, but in many cases that data hasn’t been fully employed to help companies reduce operating costs, improve reliability, and increase productivity—three goals that amount to the holy grail of manufacturing. Until recently, the path forward has been blocked by insufficient compute power, storage, and machine learning technologies to allow companies to harness the richness of the data they generate.

Today, all of this is changing. Thanks to the rise of the Industrial Internet of Things, dramatic advances in computing systems, and the rapid maturation of machine learning algorithms, manufacturers now have the ability to collect, store, and analyze huge amounts of data in real time to turn it into actionable information. They can use this information to enhance operations, remedy equipment issues proactively, improve plant availability, and meet countless other goals that drive toward better margins for the business.

Looking ahead, manufacturers see an even brighter future. We are at the dawn of an era of autonomous manufacturing, in which virtually all processes will be digitally based and highly automated. In this new world, a plant will receive an order via a digital data model that captures all of the specifications for the product, the machines will organize themselves to a great extent, and orders will transform directly into production information and flow into the production process.

So what does it take to achieve this vision of the autonomous manufacturing plant? A first step is to put the right foundation in place to enable plant managers to fully exploit the data generated on the manufacturing floor. That foundation includes a robust digital platform that captures, stores, and analyzes the data generated by manufacturing control systems and sensors on equipment connect via the IoT.

This is where the Siemens cloud-based, open IoT ecosystem, MindSphere, comes into play. MindSphere provides a platform for recording and analyzing large volumes of production data. It serves as an operating system for the Internet of Things, connecting actual production with the virtual world.

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