Automation and robotics have long been an important part of the manufacturing process. But how much or how little mechanization is found within a company largely depends on what processes are most critical to the organization. As automation becomes increasingly important, those without a strong foothold in automation risk being left behind. This is why more organizations are on the lookout for new and diverse ways to improve performance, increase safety, and boost reliability through elements of smart manufacturing.

To do this, many are turning to cyber-physical or intelligent systems. Simply put, cyber-physical systems are computers that are controlled or watched by computer-based algorithms. The software and components of these systems are composed of different spatial and temporal scales that interact in ways that can change based on context and the information they receive.

Cyber-physical systems are also known as the Internet of Things (IoT). This is a wide-sweeping term that encompasses a range of connected devices and systems that use networks to exchange real-time data and information. The real-time inputs received are then used to inform tasks and improve processes in real time. This process typically brings together what were once individual processes and standalone devices.

Cyber-physical systems, or IoT, combine actuation, computation, sensing and communication processes and leverage them to make improvements to a system’s overall performance. This could also be done to improve reliability and safety within a working environment. The system applies machine learning and artificial intelligence (AI) in the observation of the physical environment. The knowledge that’s generated from the observations is used to create actions in real time within the physical environment.

Manufacturers can then combine all these items to develop an environment of smart manufacturing where solutions can take place at a speed applicable to the requirements of the individual business. In theory, this will allow increasing speed as more of the environment is turned over to applications of Industry 4.0. In practice, this might include automating more tasks through AI or using interconnected systems designed to learn and make improvements as they go.

The ability to curate and analyze data to its greatest ability means that the people interacting with the cyber-physical systems also need to be able to analyze and learn from the outputs to forecast trends and events. Working together with technology could make it easier to keep a manufacturing floor running at top speed with efficiency. Additionally, data input will help spot areas of opportunity and elements of risk to perfect workflow efficiency throughout the organization.

At Cleveland Deburring Machine Company we understand the need for manufacturers to stay on the cutting edge of technology to get the most out of their manufacturing processes. Contact our experts to see how we can help.