Accelerate Digital Transformation in Manufacturing

whitePaper | March 16, 2022

What is lights-out warehousing? The simple answer is a facility without people. One that relies entirely on automated equipment, to the point that no manual touches are necessary. With no employees required on the floor, operations do not need to turn the lights on, hence the term “lights-out warehousing.”

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 | November 1, 2022

Many businesses are experiencing an increase in supply chain disruptions reverberating down to the customer. A rapidly growing population adding to the swell of demand, the threat of a looming recession, and complex logistics systems create an incredibly delicate balance. We are facing a pivotal time for the future of supply chains.

whitePaper | September 1, 2022

A tale as old as industrialization itself. The former driven by producers, the latter by consumers. Every business is subject to the supply and demand paradigm, but manufacturing organizations in particular, since they determine the supply side of the equation. When we talk about “demand,” we are talking about the quantity of a specific good or service that consumers are willing and able to purchase during a given period of time. When we talk about “supply,” we are talking about the quantity of that specific good or service that is available to consumers.

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 | April 4, 2022

Digital transformation is driving the adoption of Industry 4.0 in manufacturing. Multiple technologies, such as internet of things (IoT) devices and artificial intelligence (AI), are changing manufacturing processes. For instance, more is being done with robotics, 3D printing, and industrial clouds. Employees need to digest all these innovations to enable new ways for them to do their jobs properly. Around the globe, industries have implemented work-from-home policies. In most manufacturing companies, there is a mixture of employees from the business office to the factory floor, and manufacturers can now instantly enable remote work for these employees.