The Next Robotic Industrial Revolution

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 | August 1, 2022

The story of manufacturing is one of constant technological change and evolution. It is also a story with a sweeping geopolitical arc from the industrial revolution in 19th century Britain to modern day China accounting for nearly 30% of the world’s manufacturing1 . The march of the machines is relentless and for large portions of society, alarming. Today’s technology is even imbued with the ability to learn – Blake Lemoine, a software engineer at Google, believes a chatbot his firm has created is capable of conscious thought2.

whitePaper | May 15, 2022

Around the world, traditional manufacturing industry is in the throes of a digital transformation that is accelerated by exponentially growing technologies (e.g. intelligent robots, autonomous drones, sensors, 3D printing). The pace of change reflects ’Moore’s law’ on the speed at which information technology-driven change happens. Companies and their industrial processes need to adapt to this rapid change if they are not to be left behind by developments in their sector and by their competitors.

whitePaper | July 16, 2020

Quality control testing instrumentation solutions for GMP manufacturing. From raw materials QC through production QC and final product QC.Purified Water is used to produce nonparenteral preparations and other pharma applications, including tests/assays for which water is indicated. SOP parameters can be pre-programmed into the instrument and automated for testing to meet EP 2.2.44 Total Organic Carbon, USP<645> Water Conductivity, USP <643> Total Organic Carbon Analysis, and International Conference on Harmonisation (ICH) Q2 standards.

whitePaper | October 28, 2022

Manufacturing companies can integrate all the connected resources of a process and their various business applications – enterprise resource planning (ERP), manufacturing execution system (MES), product lifecycle management (PLM), and warehouse management system (WMS). They can also connect their assets, supply chain partners, and even customers through networks and the cloud.

whitePaper | July 1, 2020

Read this resource for tips you can use now to increase your OEE (overall equipment effectiveness) and modernize the maintenance program at your manufacturing organization to reduce risk and increase efficiency. This e-book can help you unlock new efficiency and drive profit with tips around