Connected Manufacturing A guide to Industry 4.0 transformation with private cellular technology

whitePaper | January 17, 2023

For those of us that have been around a while, we have learned to live through the supply and demand cycles of the semiconductor industry. As we are currently in an excess demand situation, one of the big questions we all have is “When will things flip?” We stop short of saying that this will not happen this time, but some key elements are different.

whitePaper | November 17, 2022

Changing customer expectations, coupled with pandemic, natural disaster, and geo-political impacted supply chain delays, renewed the spotlight on business agility and digital maturity in manufacturing. Just as customers demanded more transparency into the production process, the world saw shortages of raw materials and parts, pushing droves of manufacturers to reevaluate the way they do business. For many, the answer was smart manufacturing—achieved through cloud-based technologies that simplify digital transformation.

whitePaper | January 16, 2023

Digital twin, in simple words, is the virtual model of a product, a process or a service. The concept of a digital twin has been around for quite a while but after the advent of the Internet of Things (IoT), it has become imperative to business due to its cost-effectiveness.

whitePaper | April 13, 2021

The Manufacturing Execution System (MES) is the channel of information from the shop floor to the top floor in a manufacturing organization. An Enterprise Resource Planning system (ERP) is often not enough to understand what is actually happening in the factory.

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 | July 8, 2022

In response to increasing demand by the investment community over the last dozen years, the Securities and Exchange Commission (SEC) has published guidance calling for greater disclosure by public companies of the risks and costs of climate change on their businesses. The SEC’s efforts to promote greater transparency on corporate environmental impact culminated on March 21, 2022, with the promulgation of a proposed rule setting forth a sweeping array of new requirements for detailed disclosure of those risks and costs, with particular attention to greenhouse gas (GHG) emissions. If adopted, the rule would impose on publicly-held manufacturers significant obligations not only to make these disclosures but also to establish an extensive system of disclosure and accounting controls needed to ensure the periodic capture, assessment, and dissemination of a company’s exposure to climate-related risk and impact on the environment. Appropriate maintenance of any such system would require rigorous assessment of the adequacy of design and operating effectiveness of those controls.