Until recently, the evolution of control systems for manufacturing could have been described as slow and steady progress. Controllers became more powerful, networks became faster and more robust, ...

FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...

In 2022, the dominating segment for computer vision (CV) was quality assurance and inspection because of the rapid adoption of process automation in the manufacturing industry. One of the key benefits ...

Welcome to the forefront of industrial innovation, where artificial intelligence, machine learning and computer vision are transforming manufacturing. This transformative journey is more than just ...

A look at the specific challenges manufacturers face in identifying processes suitable for automation and how they can align their automation initiatives with broader business strategies. With the ...

Even after 20 years or so, process control continues to be a confusing or misunderstood technology. A short description of process control is an accurate one—It’s a means of controlling manufacturing ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Our Master of Science degree program in systems and control engineering provides students with the essential skills and tools to combine the efforts of several engineering fields. At the Case School ...

Historically, pharmaceutical products have been produced in a traditional ‘batch’ system, in which every operation is executed separately using a defined quantity of materials. In batch manufacturing ...