SOFTWARE VENDOR SELECTION Helping You Navigate the Manufacturing Technology Landscape

whitePaper | January 1, 2020

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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

whitePaper | September 12, 2022

Mpac’s remote service helps industrial manufacturers to keep up daily production, identify and resolve problems, and improve processes - all without a physical visit on site. We have been connecting machines to our network since 2004 and thousands of devices worldwide. Using a VPN service, we can access hardware and software, to service and debug the machines remotely.

whitePaper | January 1, 2022

In the past five years, there’s been a significant shift in what’s expected from manufacturers: in particular, speed to market and increasing production demand. Many have been seriously affected by COVID-19, and are still looking to keep costs down while delivering a high-quality product. And although Europe’s industrial production had grown year-on-year prior to 2020, facilities are battling against increased customer demand, supply chain delays, and shortages of materials

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 | November 30, 2021

There has been a fundamental shift in product innovation. Not merely a revolution in materials or design, but a revolution of possibilities. Advanced software technologies such as artificial intelligence have given us a peek of what could be, enabled by methods to deliver the speed that turn worldchanging ideas into reality. We’ve now reached an event horizon — one where semiconductors and software actually have the ability to bring about the most uplifting advances in the history of humankind. Thanks to this leap forward, chip technology and a new era of product transformation are poised to take us places previously unimaginable