Using Competency models to Drive Competitiveness and combat the manufacturing skills gap

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 1, 2022

Printed circuit assemblers need an IoT ecosystem, the cornerstone of Industry 4.0. One of the key advantages of an IoT ecosystem is that it can take siloed information, analyze it, and optimize processes across a company’s systems. Aligning IT and OT is key to the Industry 4.0 transformation and to improving manufacturing processes and leads to higher production performance and lower costs. However, it requires effective governance and tools to adapt IT project management models for use in operations.

whitePaper | August 9, 2023

The industrial sector contributed approximately one-third of the 35 billion metric tons of carbon dioxide emitted in 2020. Industrial market engagement is going to be crucial to meet the climate change targets being set by governments around the world. However, challenges extend beyond just the industry’s carbon footprint, with concerns around raw material depletion, harmful emissions, pollution, and water consumption.

whitePaper | October 10, 2022

Advances in technology promise many advantages to manufacturers striving to overcome challenges, realize new efficiencies and gain a competitive advantage. The top trends below, collectively termed the Fourth Industrial Revolution5 or Industry 4.0, are combining to transform the modern manufacturing world.

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 17, 2022

The conversion brought forth by digital transformation and advanced technologies has made a tremendous impact on the way manufacturers process and manage their organizations. While the strategies of agile and modern management systems, specifically quality management, are the result of digital conversion, there is still limited understanding and unclear identification in this new era of quality assurance impact. With the development of digital methodologies, the classical system of operating businesses has been disrupted. As a result, many organizations are in the process of reacting to digitization by utilizing enhanced business platforms and rebuilding the waterfall approach to the agile approach