The Global Smart Industry Readiness Index Initiative: Manufacturing Transformation Insights Report 2022

whitePaper | July 31, 2020

Geek+ is one of the world’s fastest growing logistics automation companies. Its technology offering, which is based around a core product range of four smart robotic systems – picking, moving, forklift and sorting robots; all underpinned by a highly intelligent AI-enabled software platform – offers a scalable alternative to traditional fixed automation machinery for eCommerce, industrial and manufacturing customers to invest in. Perhaps one of the most notable features of the Geek+ solution is its extreme scalability – both within a single fulfilment center or across a network of facilities – which can move in lockstep with business needs to meet rapid customer growth, or to meet sudden peaks and troughs caused by seasonal trends or unexpected crises.

whitePaper | February 16, 2022

An enterprise tech ecosystem, consisting of robust and powerful software solutions built for a specific purpose, is the front line of all business operations. It’s also one of your company’s biggest investments and greatest assets. Certainly, the vast majority of manufacturers both large and small have at least begun their digital transformation journeys, adopting digital systems to streamline important areas of the business. Most organizations have focused their initial investments on digitizing core enterprise and operations systems like enterprise resource planning (ERP), materials requirement planning (MRP) and supply chain management (SCM) as well as their industrial equipment and automation systems

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 | June 8, 2020

Before cobots and other fast-deployable robots, many automated manufacturing cells incorporated only fixed or dedicated tooling rather than solutions that allow for changes or updates. An advantage of fixed automation is that it allows for reliable and high throughput, but it also tends to be custom engineered towards a specific process. Any changes in the workpiece or production process often mean redesigning large sections of the fixed automation system or even starting completely over from scratch.

whitePaper | January 7, 2020

Implementing a PLM solution is top of mind for many manufacturing professionals in the race to keep up with an increasingly digital competitive landscape. But doing so involves tackling a range of challenges to ensure that personnel, business processes and IT infrastructure are equipped to be successful.

whitePaper | March 12, 2022

Northeastern Pennsylvania (NEPA), which encompasses Northern I-81 Corridor communities such as Scranton, Pittston, Wilkes-Barre, and Hazleton, has a long history of supporting a diverse array of manufacturing operations.