Additive Manufacturing for Tooling

whitePaper | November 23, 2022

AI-enabled industrial control automation creates fresh opportunities to innovate and adapt manufacturing processes, building on a foundation of digital transformation and network advances across the intelligent edge

whitePaper | August 1, 2022

The story of manufacturing is one of constant technological change and evolution. It is also a story with a sweeping geopolitical arc from the industrial revolution in 19th century Britain to modern day China accounting for nearly 30% of the world’s manufacturing1 . The march of the machines is relentless and for large portions of society, alarming. Today’s technology is even imbued with the ability to learn – Blake Lemoine, a software engineer at Google, believes a chatbot his firm has created is capable of conscious thought2.

whitePaper | February 24, 2023

Business demands have forced manufacturers to be more agile. Smart manufacturers are adopting technology, specifically digital twins, to move faster. Using a digital twin in a manufacturing environment can fast-track discovering bottlenecks, drive efficiencies, lower costs, reduce environmental footprint, and help manage risk. However, there is mystery around digital twins, from defining what they are and their strengths to the critical importance of an ecosystem approach to address the diversity of digital twin scenarios. The goal of this paper is to demystify digital twins, so more manufacturers can apply the technology and bring agility to their operations.

whitePaper | May 25, 2022

This white paper takes a fresh look at the vision for Industry 4.0 and suggests ways in which to take advantage of the broad view of the concept. Implementations of Industry 4.0 have mostly focused on using new technologies for economic benefits. Sustainability and social aspects have received less attention, despite their importance and potential for economic benefit as well, as we will show.

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.

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.