Vehicle Manufacturing

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 | March 3, 2022

Thanks to innovations in vision, mapping, safety and other technologies developed for self-driving vehicles, AMRs have overcome traditional barriers to automation in distribution centers (DCs) and complex manufacturing operations. They’re smart enough to “share the road” with human co-workers and other vehicles, find a different route if their original path is blocked, and respond to rapid changes in orders or logistics needs — all without human intervention. AMRs are also highly cost-effective, requiring minimal information technology (IT) or infrastructural changes and only a short integration period to learn their surroundings.

whitePaper | July 8, 2022

Manufactured goods are placed into products in multiple verticals. For example, a battery will be placed into an electric car or a magnet into an MRI machine in a hospital. Manufacturing, therefore, covers all industrial internet of things’ verticals, from smart cities, to automated vehicles to healthcare and mining. Not to mention the factories themselves. The GIO Smart Manufacturing Working Group was established to bring these threads together and examine factories, deployments and modes of manufacturing, from batch-size-one to discrete manufacturing and continuous-process manufacturing. Our focus so far has been in the factory, which will be discussed throughout this paper

whitePaper | August 30, 2022

Unexpected change costs in automotive manufacturing investment projects can quickly lead to spiraling costs and delays in production unless carefully managed. Any changes to production schedules and machinery must be meticulously planned. But without the correct information to base a plan, problems may multiply instead of being resolved.

whitePaper | August 15, 2022

It is clear that for many businesses, with legacy assets and requirements for urgent investment in other areas, the goals of Industry 4.0 can seem further away than ever. Many of the smart manufacturing ideas and strategies that are discussed assume a base level of automation and integration that are much easier to achieve in greenfield sites that have be

whitePaper | November 14, 2022

In this white paper, we propose to discover what Industry 5.0 means to business owners today: how they can stay competitive with this new trend and how employees can benefit from it! Since the turn of the 2010s, the fourth industrial revolution, also known as Industry 4.0, has been taking place. This refers to the automation of manufacturing companies and the integration of new technologies into production lines.