Autonomous vehicles have a lot to learn. We can help

whitePaper | December 5, 2022

The global semiconductor industry is poised for a decade of growth and is projected to become a trillion-dollar industry by 2030.The semiconductor industry, which makes vital components for the technologies we all depend on, hit the headlines over the past year.

whitePaper | June 1, 2023

This rapid shift from internal combustion engine (ICE) vehicles to EVs has brought a huge opportunity for automobile manufacturers to scale up their EV production. However, this is posing challenges for automobile manufacturers, as they need to invest heavily in a short time span for EV design, development, manufacturing, selling and servicing infrastructure. There are additional challenges related to battery cost, supply chain complexities and manufacturing infrastructure. Contract manufacturing is becoming an increasingly important strategy for EV manufacturers.

whitePaper | September 21, 2023

Automation is improving the overall productivity of discrete manufacturing plants and facilities, delivering a range of goods from automobiles and electronics to furniture and toys to countless other items. The complexity of coordinating personnel, work procedures, material handling, and automated equipment – all while meeting production goals – make increasing digitalization and use of data across the enterprise and in production essential. Perhaps most important is the ability to put the control engineer, line worker, and design engineer in the middle of this critical data to derive actionable insights and provide real-time decision support. The constantly growing capabilities of digital technologies are creating more opportunities for discrete manufacturers to drive increasingly reliable and more efficient operations.

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 | May 26, 2023

Today’s advanced tooling manufacturers want to design and iterate faster, speed up production times, assure yield quality, and improve the durability and performance of their inserts. Achieving all this, and more, is mission critical to the needs of customers in the aerospace, energy, automotive, and other industries for whom the rapid and repeatable production of high-quality cast parts is essential. Until now the limitations of conventional 3D metal printers made it difficult for tooling manufacturers to harness the full potential of additive manufacturing (AM) and advanced tooling manufacturing processes. But no more.

whitePaper | November 8, 2022

The industry is currently undergoing its fourth revolution. The third industrial revolution introduced automation, which created data. I4.0 is the movement to translate data into information. This is paving the way for introducing a high level of autonomy by utilizing smart decision-making through advanced physical or statistical modelling to achieve self-adaptation, self-diagnosis, and self-healing. This is truly relevant for the companies, as the conventional systems are unable to adapt to the highly increasing complexity and dynamic of the production environment