Vehicle Manufacturing

whitePaper | September 16, 2022

Manufacturers have borne the brunt of financial pressure and consequences1 in previous recessions. Economic uncertainty brings a need to cut costs while improving efficiency and maintaining profits. Robotic automation can be a game changer for manufacturers by speeding up production and improving quality and accuracy, while also reducing operating costs, helping them stay competitive and keep their businesses afloat in a recession.

whitePaper | August 19, 2020

Industry 4.0 makes manufacturing “smart” through emerging technology innovations such as data analytics, autonomous robotics, and AI. These technologies drive increased productivity and performance throughout the value chain. These datadriven innovations require information technology (IT) systems deployed on-premise, often referred to as edge IT or edge computing. This edge IT can increase the risk of downtime for automation systems in some cases.

whitePaper | January 24, 2020

Small-to-midsize businesses in manufacturing and distribution industries are focused on growing revenue, reducing costs, and improving customer experience. However, nearly 40% of companies don’t believe their current business infrastructure and applications (e.g., enterprise resource planning) are adequate for delivering these business priorities.

whitePaper | May 23, 2022

Cost-effective digital manufacturing solutions are needed to keep factories and supply chains running smoothly while producing high-quality products–whether delivered by OEM, parts or assembly supplier, contract manufacturer, or manufacturing services supplier. IBM can help you cocreate a roadmap to a custom solution with a focus on leveraging existing OT investments,improving key metrics, exploiting digital tools, and using the right talent. We help you set your direction based on a proven Industry 4.0 reference architecture and industry standards, achieve scale by consistently deploying advanced shop floor technologies on an open platform, and unleash optimum value by selecting manufacturingprocess use cases to address immediate needs.

whitePaper | January 19, 2023

Legacy ERP is the weakest link in your digital transformation, especially when it’s disconnected from CRM. But when everything from supply to sales is built on the same platform, you get more value, flexibility, and visibility to better serve your customers. Moving away from your legacy ERP system and on to something more modern may seem daunting, but the alternative of doing nothing or waiting for the next new technology is holding your business back in more ways than you might imagine. Hundreds of Rootstock customers have gone through the same process, looking at the limitations of their legacy ERP but assuming the migration to a modern cloud-based ERP could wait another year. But, without fail, every single customer comes out the other side wondering why they waited so long to make the switch

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.