Closing the Connectivity Gap in Manufacturing with Digital 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 | October 28, 2022

Manufacturing companies can integrate all the connected resources of a process and their various business applications – enterprise resource planning (ERP), manufacturing execution system (MES), product lifecycle management (PLM), and warehouse management system (WMS). They can also connect their assets, supply chain partners, and even customers through networks and the cloud.

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 21, 2020

We are living through a historic time, when advanced technologies continually change how a manufacturer generates value. This new digital era is the “Fourth Industrial Revolution” (4IR). Companies see new technologies accelerating strategic, tech-enabled transformations. Regardless, many manufacturing companies are stuck in the proof of concept (PoC) phase or are running projects that are delivering results far from revolutionary. Add to that the COVID-19 tsunami, a crisis that changed the world in a matter of weeks. It is difficult to predict every aspect of the post-COVID-19 era, but it is already clear the world will never be the same. Even the most conservative industrial player will need to adapt to the “new normal”, with the importance of digital rapidly increasing for the entire value chain. Executives are expected to speed up digital transformation initiatives, changing the operating model forever.

whitePaper | September 9, 2022

When it comes to choosing a manufacturing system, you need more than just product information; you also need other kinds of input to make sound accounting and manufacturing software decisions... and that’s what this booklet is all about. How to Choose a Manufacturing System contains the compiled wisdom of soft-ware designers, manufacturing pros, and industry technologists

whitePaper | August 1, 2020

The Industrial Internet of Things (IIoT) in manufacturing is now an imperative to staying competitive. This means that becoming a digital enterprise is a requirement, as Bain & Company estimates the IIoT to have a $200B market potential by 2021. Organizations face a choice of building their own IoT platform or buying a pre-built platform. Read this joint Microsoft and Siemens white paper, "Make vs. Buy: Understanding the Tradeoffs Between a Build-Your-Own and Pre-Built Industrial IoT Platform," to learn the advantages and disadvantages of each approach, and get an understanding of how other manufacturers have gotten started.