TRANSFORMING MANUFACTURING WITH DIGITAL COMMUNICATIONS

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 | October 11, 2022

Identifying problems before they cause equipment failure and costly, unplanned downtime is the purpose of proactive and predictive maintenance programs. And one of the most reliable ways of catching problems before they become failures is to detect when a piece of equipment is beginning to operate outside of its normal parameters – especially if it is beginning to run too hot or too cold. Variations from normal heating are often the first signs of impending equipment failure, so frequent thermal inspections of critical equipment such as motors, belts, and drives not only helps extend the life of these assets, but keep your entire operation up and running normally

whitePaper | October 10, 2022

Stop us if you’ve heard this already: 3D printing is the future. This isn’t a scorching take. Additive manufacturing is consistently growing with an approximate 20 percent compound annual growth rate. Will we ever reach that predicted utopia of a desktop 3D printer in every home? Not anytime soon. However, we’re at the point where 3D printing is a strategic cornerstone for many companies.

whitePaper | March 6, 2020

The manufacturing industry is undergoing tremendous change. The industrial revolution brought us assembly lines and mass production. The result was a dramatic increase in worker productivity. The digital revolution brings a host of new opportunities, enabled by data and the power and intelligence of cloud computing. However, it’s the talent, skill, and creativity of your people that determine success.

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 | December 11, 2021

Developing products for an increasingly complex world certainly challenges or even exceeds engineering capabilities. Many factors impact complexity such as connectivity, security, safety, product variants, development velocity, reliability and quality,Many argue tha the major driver to better manage this complexity is the engineering paradigm of Industry 4.0.