Interoperability between IIC Architecture & Industry 4.0

whitePaper | March 17, 2023

In today’s world, manufacturers still depend heavily on the working hands of people. The skills that are in demand are extremely repetitive and potentially dangerous. With the added effect of current labor struggles, keeping talent in this environment is difficult to maintain. According to The Workforce Institute at UKG, 4 in 5 U.S. manufacturers are having difficulty keeping up with demand due to staff shortages and supply constraints1 . In real time, if a skilled worker decides not to come to work, eight hours of production time is wasted. These losses can be catastrophic for small to mid-sized manufacturers trying to keep up with demand while also attempting to outcompete global competitors.

whitePaper | March 3, 2023

The US military has long been at the forefront of innovation. What has made our military so formidable is our commitment to and investment in technological advancement. What’s more, innovations within our military have filtered out and impacted advancement in other fields from aviation to consumer electronics, which has helped build our economy to what it is today

whitePaper | April 4, 2022

Digital transformation is driving the adoption of Industry 4.0 in manufacturing. Multiple technologies, such as internet of things (IoT) devices and artificial intelligence (AI), are changing manufacturing processes. For instance, more is being done with robotics, 3D printing, and industrial clouds. Employees need to digest all these innovations to enable new ways for them to do their jobs properly. Around the globe, industries have implemented work-from-home policies. In most manufacturing companies, there is a mixture of employees from the business office to the factory floor, and manufacturers can now instantly enable remote work for these employees.

whitePaper | August 3, 2020

Edge computing is one of today's leading disruptive digital technologies. Until recently, it was overshadowed by the Cloud with its power, scalability, and as-a-service platform capabilities. However, there is an increasing realization that both have their place in the Industrial Internet of Things (IIoT) environment and that Edge offers a number of capabilities and advantages that make it a key player in the new Operational Technology (OT) Ecosystem, as well as in evolving Operational Architectures.

whitePaper | November 2, 2022

This white paper entitled "Artificial Intelligence in Manufacturing" reports the use of Artificial Intelligence (AI) in European manufacturing, and its potential to enhance competitiveness and technological leadership in the future. The paper is based on research conducted by the Artificial Intelligence in Manufacturing NETwork (AIM-NET), which represents the viewpoint of the manufacturing community on the achievements and challenges of AI solutions. The document covers topics such as AI in manufacturing processes, robots, machines, and operations support in manufacturing, and AI in manufacturing systems. It also includes discussions on cross-cutting aspects such as regulation, education, systems engineering, and data augmentation. The paper also presents the maturity achieved TRL levels of existing AI-based applications in manufacturing, typical KPIs used to assess performance, and barriers and limitations to wide adoption. It also provides a roadmap for future work on AI, with efforts needed in short-term and long-term time horizons. Overall, the paper provides a comprehensive overview of the current status and future vision of AI in manufacturing for policy makers, practitioners, and researchers.

whitePaper | June 12, 2022

Automation has been a driving force behind greater productivity and efficiency in manufacturing companies since the 1980s. In the 2020s, a new generation of applications will enable even more production companies to benefit from the potential of automated processes. Advances in sensor technology and networking enable increasingly complex tasks to be performed reliably and safely by robots. Thanks to high-performance sensor technology, they can automatically react to many changing circumstances. Connected to the Internet of Things (IoT), the robots automatically provide information about progress and incidents. Via a remote connection, the IoT technology can be provided with new instructions, monitored, and remotely operated if necessary.