Accelerating adoption of the Industrial Internet of Things For Connected Manufacturers

whitePaper | November 11, 2022

The manufacturing and hi-tech industries are accustomed to economic downturns, legislative impacts, tax and tariff complexities, and supply chain concerns. During the Great Recession, the United States’ manufacturing downturn resulted in a loss of 10% of its GDP, compared with only 4% for the overall economy. With these already poignant experiences, it is not hard to believe the pace of change has picked up in the last decade.

whitePaper | October 19, 2022

The 1980s saw the Western World’s academics and manufacturers cast their eyes eastward to the miracle of Japanese manufacturing. Specifically, its low cost, high quality, and low stock. As a result, Japanese products were successfully flooding the Western World’s market and were seen as “World Class”.

whitePaper | November 10, 2022

Evolving Design Tools To Meet Increasingly Complex Demands Packaging machine designs evolve at a rapid pace. The emergence of smart manufacturing and the need for smarter machines is creating a challenge in electromechanical design, information management, and robotic adoption. New vision and sensor technologies provide increased capabilities at the component level, providing faster and more accurate insight into production quality and improving throughputs.

whitePaper | December 21, 2022

In today’s manufacturing companies, CAD, PLM and ERP solutions are traditionally implemented as stand-alone solutions, which each has its own data structure, interface and capabilities to fulfill Engineering, Operations and Manufacturing requirements respectively. However, with the rise of Industry 4.0, for manufacturers to stay competitive they must be able to implement solutions that interconnect information and processes not only across the internal enterprise and departments but external partners and suppliers as well.

whitePaper | December 12, 2022

Artificial intelligence (AI) can enable a new era in the digital transformation journey, offering tremendous potential to transform industries for greater efficiency, sustainability and workforce engagement. Even though the impact of AI applications in manufacturing and value chains is known, the full opportunity from their deployment is still to be uncovered due to a number of organizational and technical roadblocks. Recognizing this need, the World Economic Forum’s Platform for Shaping the Future of Advanced Manufacturing and Value Chains and Platform for Shaping the Future of Technology Governance: Artificial Intelligence and Machine Learning, together with the Centre for the Fourth Industrial Revolution Türkiye, convened industry, technology and academic experts to shed light on these challenges and propose a step-by-step approach to overcome them.

whitePaper | November 12, 2019

Today’s economies are changing dramatically, driven by developing and emerging markets, innovative products and business models, and the accelerated rise of advanced technologies, such as machine learning and artificial intelligence. Globally, the automotive and manufacturing segments have seen record-setting profits over the past decade-and also transformative change.