Improved Data Visibility Drives Manufacturing Performance

whitePaper | October 1, 2021

Digitalization is changing how humans live and behave in many ways. It has a huge impact on almost all aspects of society. Just look at manufacturing. Factories have used digital applications for decades, but the impact of a new technological paradigm founded on the Industrial Internet of Things, or IIoT, and realized in the Industry 4.0 concept, is driving the world of manufacturing into a completely different playing field.

whitePaper | July 5, 2022

The manufacturing industry is constantly evolving. New technologies such as artificial intelligence and machine learning, data and analytics, advanced robotics, wearables and connected devices, and other innovations are reshaping how manufacturers produce goods, engage with customers, and support employees

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 | March 14, 2022

It is unusual to see positive economic indicators paired with historic labor and supply chain challenges. But this is the trajectory for US manufacturing in 2022 emerging from the pandemic. The recovery gained momentum in 2021 on the heels of vaccine rollout and rising demand. As industrial production and capacity utilization surpassed pre-pandemic levels midyear, strong increases in new orders for all major subsectors signal growth continuing in 2022.

whitePaper | May 19, 2023

For the better part of a decade, manufacturers have made significant strides to drive efficiencies, boost agility, and improve product quality by implementing data-capture sensors and analytics systems. Now, they are capitalizing on that foundation to optimize interconnectivity, automation, machine learning, and real-time data to further enhance production outcomes and improve worker safety and well-being.

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.