Silicone Part Production With 3D Printed Tools

whitePaper | September 23, 2023

Turbulent times in the manufacturing and industrial sectors have forced leaders to focus on their organizations’ digital transformation to survive. As part of this ongoing adaptation process, decision-makers are evaluating business and technological processes for optimization and automation, investigating new competencies and business models, and seeking new product and revenue opportunities.

whitePaper | October 1, 2022

Smart Industry and Industry 4.0 mark the era in which industries are constantly shifting towards the latest technologies. Companies now need to focus on their digital transformation to stand out from their competitors. By equipping machines with sensors, software and other smart devices and connecting them to the internet we are able to monitor and manage them from a distance.

whitePaper | March 23, 2023

The fourth industrial revolution is transforming the manufacturing industry as we speak. Industry 4.0 is digitally driven, and like all other revolutions, the transformation did not happen overnight. Since the first personal computer on a factory floor in 1970s, computer-aided design has developed and matured exponentially. Strategically eective evolutionary steps has resulted in productivity and eciency gains in manufacturing. We live in the Industry 4.0 era, characterized by the digitization of manufacturing processes. Inevitably, today, information plays a significant role for an enterprise transformation. Data on how the product’s design and manufacturing information is authored, exchanged, and processed is critical to competitiveness. Information ‘silos’ for various life cycle processes are gradually connected to form a digital thread of information, envisioned to integrate and drive modern product design, manufacturing, and product support service processes.

whitePaper | October 21, 2022

The adoption of Industry 4.0 technologies into production facilities and throughout operations, such as automation, 3D printers, cloud computing, robotics, machine learning, and IIoT devices, is gaining momentum across smart manufacturing

whitePaper | August 12, 2020

For industrial machinery and equipment manufacturers, delivering personalized, unique products is the key to doing business in an increasingly competitive environment. Read this best practice guide to learn how you can increase sales and reduce costs through. Facilitated configuration, quoting, order management, and customer communication utilizing CPQ automation

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.