AI in 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 | February 29, 2020

Ideal Boilers in Hull, UK started manufacturing boilers back in 1906. Since autumn 2018, the boiler chassis for the domestic range of boilers have been manufactured in a fully automated and highly efficient process designed by AP&T. Over 400,000 boilers leave the factory in Hull every year for households and commercial properties all over the UK. In order to meet the growing demand for the company’s products, Ideal Boilers decided in 2016 to investigate the possibilities for increased automation and streamlined production.

whitePaper | February 21, 2022

Industry 4.0 presents a once in a lifetime opportunity to modernise and digitise the industrial arena, and that alone should be reason enough to delve further into its possibilities.

whitePaper | September 10, 2022

From the very beginning, SmarterChain’s vision has been to democratize top-tier supply chain knowledge and expertise. Through the years, we have been fortunate to work with best-in-class organizations and academic institutions and understand the importance of easy and systemic access to practical, top-tier strategic advice. As a plan of action designed to achieve a longterm ambition, strategy is what makes or any type of organization from a company, a nation, or an individual. The word ‘strategy’ itself comes from the ancient Greek words for ‘army’ (‘stratos’) and ‘lead’ (‘egy’) – it means leading your army into battle. And, as such, strategy is about the leadership required to make big ambitions a reality. For centuries, the biggest, most influential organizations and companies have led with radical approaches that have shaped the way we do business, as well as how we teach business to future generations.

whitePaper | January 20, 2022

The roadmap commitments now indicate the manufacturing industry’s readiness to work towards net zero. There are however conditions required for the manufacturing sector to reach the net zero goal and fully realise the opportunities presented by the net zero ambition. A deeply or fully decarbonised power supply, reliable, in sufficiency and at a reasonable cost is one of these conditions. This includes the development of a hydrogen network that reaches not only industrial clusters but also dispersed manufacturing sites.

whitePaper | October 24, 2022

Additive Manufacturing (AM) which is also known as 3D printing has received increased attention over the last couple of years and has proven to be an innovative manufacturing technology that can be applied in multiple industrial sectors. However, the term „Additive Manufacturing“ includes a large variety of technologies that offer different advantages and disadvantages. Moreover, according to the desired characteristics of the finished part, one technology can be more suitable for the manufacturing of the part than another. This results in the challenge to select the adequate technology for a specific application.