Digital Disruption in Proactive and Service-Driven Manufacturing

whitePaper | May 20, 2022

In today’s Industry 4.0-driven market, companies strive to meet customers’ needs and offer the most competitive and valuable solutions while being efficient and reducing costs. To face this challenge, manufacturers need to leverage the advantages of digital transformation.

whitePaper | July 26, 2023

In recent years, considerable progress has been made in the field of amorphous metals, also known as metallic glasses. Here, new insights were gained into the composition of alloys in order to achieve a better glass forming ability and thus enable larger components. While the first amorphous alloys usually consisted of two elements, the currently most promising amorphous alloys often consist of four to five elements. Occasionally zirconium-based alloys show the best glass-forming ability, with which the largest component dimensions can be realized.

whitePaper | May 11, 2020

In manufacturing, the slightest deviation can have significant repercussions. This guide presents solutions, in the form of best practices, that will help quality and production managers solve their productivity issues and implement near-line and in-line automated dimensional inspections.

whitePaper | January 3, 2023

In order to achieve digital manufacturing through Industry 4.0, it is critical to aggregate and manage the huge amount of data generated in the factory by Industrial Internet of Things (IIoT) sensors and devices. Having connected machines, workers and systems is just the start of the digital transformation journey. To extract real value from this connectivity, a digital twin of machines and processes have to be modeled in a standardized manner which will help aggregate heterogeneous data and provide valuable insights to drive productivity and efficiency. The interoperability and flexibility of different assets is an important challenge due to the volume and variety of data that needs to be modeled. This paper will go over Industry 4.0 compliant data modeling principles using the MongoDB Smart Factory testbed as an example. We will model the data using MongoDB Atlas in a way that fulfills requirements and needs of Industry 4.0: interoperability, flexibility and scalability.

whitePaper | January 12, 2022

Henry Ford’s visionary ideas and inventions well outlived him: the assembly line made its way from Industry 3.0 to Industry 4.0, where it became more “connected” and efficient.In this white paper, we explore how cutting-edge technologies such as machine learning (ML), artificial intelligence (AI), computer vision, and cognitive systems can be fine-tuned to support mass personalization and add a much-needed human touch to production (and beyond).

whitePaper | March 29, 2023

As momentum around the Connected Factory continues to build, manufacturers everywhere are intently focused on reaching Industry 4.0 in their own factory environments. But to reach Industry 4.0 implies that it is a destination—and that, once reached, one’s quest for Industry 4.0 is somehow complete. The lion’s share of the industry speaks about Industry 4.0 this way. However, to reap the full benefits of the Connected Factory, it is critical that today’s manufacturers approach Industry 4.0 as a journey