Intelligent Low-Carbon Semiconductor Manufacturing

whitePaper | March 29, 2023

Smart factories have various areas of strengths and weaknesses, just as people do. Strengths bring the opportunity for positive differentiation, whilst weaknesses offer challenges to address in order to deliver consistently on expectation. Many people like to measure their IQ to see how they compare in terms of being “Smart”— so why should we not do the same for the data-driven Smart assembly factory? This helps reveal both strengths and weaknesses, builds the roadmap for improvement and development, increases visibility of unique values, and eliminates risk derived from bottlenecks and inefficiencies. It is time to put our Smart, data-driven manufacturing operation to the test, ensuring preparedness as the industry transforms toward the elusive Industry 4.0.

whitePaper | March 22, 2020

Manufacturers are beginning to adopt AI technology themselves, marrying this new technology with the automation systems they already widely use with the advent of the programmable logic controller, manufacturers have been able to increase their productivity while employing fewer people. Here are three major AI ethical problems that manufacturing executive are facing.

whitePaper | October 25, 2022

Traditionally, early-stage and late-stage process development have been done separately, with early-stage mostly focused on material production and late-stage on process intensification. As more molecules in development fall under an orphan or fast-track indication, the traditional approach of linear development stages can be counterproductive—not to mention expensive—due to investing resources in perfecting a process prior to early clinical phase success.

whitePaper | July 17, 2020

We launched a new product back in late 2019 called GrabCAD Shop. The idea was simple. We wanted to build a solution to make the 3D printing work order management process better—less manual, more integrated, and more cost effective.Now, GrabCAD Shop is the only 3D printing work order management software on the market. It’s the only solution built specifically for 3D print shops. It’s proven to streamline 3D printing workflows, easy to set up with little to no IT involvement, and secure.

whitePaper | December 6, 2022

Industry 4.0 and the Industrial Internet of Things (IIoT) create significant challenges for users and manufacturers of systems and devices. Most machine and system manufacturers as well as most production companies lack adequate experience when it comes to using smart networks. Even though, modular automation concepts with increasingly decentral distribution of control intelligence have already been around for some time. The decentral components – including safety controllers – communicate more and more via network technologies. However, many manufacturers and users hardly think about security issues. Cybercriminals use this fact to sabotage or extort companies, or to carry out espionage

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.