Drive enterprise digital transformation and innovation with digital thread

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 | October 25, 2022

Traditionally, early-stage and late-stage process development have been done separately, with early-stage mostly focused on material production and late-stage on process intensification. As more molecules in development fall under an orphan or fast-track indication, the traditional approach of linear development stages can be counterproductive—not to mention expensive—due to investing resources in perfecting a process prior to early clinical phase success.

whitePaper | August 3, 2020

Edge computing is one of today's leading disruptive digital technologies. Until recently, it was overshadowed by the Cloud with its power, scalability, and as-a-service platform capabilities. However, there is an increasing realization that both have their place in the Industrial Internet of Things (IIoT) environment and that Edge offers a number of capabilities and advantages that make it a key player in the new Operational Technology (OT) Ecosystem, as well as in evolving Operational Architectures.

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 | August 4, 2022

The manufacturing industry is undergoing an unprecedented digital-led transformation. This opportunity is empowering manufacturers to innovate with new products and services, accelerate top-line growth, create a superior customer experience, and streamline operations.

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.