Industry 4.0 challenges and solutions for the digital transformation and use of exponential technologies

whitePaper | August 17, 2022

The need for true customer-centricity is impossible to ignore in the manufacturing world. Disruptive technology, instant availability of information, the expectation of to-the-second service in an on-demand consumer economy have given rise to a new power balance, in which the demands of the customer call the shots – rather than the way manufacturing businesses determine they should operate. In this redrawn landscape, intelligent automation (IA) can be the difference between success and failure. But what does it take to integrate IA into a manufacturing operation – and where are its benefits felt most prominently?

whitePaper | July 5, 2022

The manufacturing industry is constantly evolving. New technologies such as artificial intelligence and machine learning, data and analytics, advanced robotics, wearables and connected devices, and other innovations are reshaping how manufacturers produce goods, engage with customers, and support employees

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 1, 2022

Smart Industry and Industry 4.0 mark the era in which industries are constantly shifting towards the latest technologies. Companies now need to focus on their digital transformation to stand out from their competitors. By equipping machines with sensors, software and other smart devices and connecting them to the internet we are able to monitor and manage them from a distance.

whitePaper | November 11, 2019

Creo is a 3D CAD solution that helps you build better products faster by accelerating product innovation, reusing the best of your design and replacing assumptions with facts. Go from the earliest phases of product design to a smart, connected product with Creo. And with cloud-based augmented reality in each seat of Creo, you can collaborate with anyone, instantly at any step in the product development process. In the fast-changing world of the Industrial IoT, no other company can get you to substantial value as quickly and effectively as PTC.

whitePaper | March 17, 2022

Manufacturing industry professionals must corral and understand massive amounts of data from many systems to drive operational efficiencies, higher levels of service, supply chain resiliency, and ultimately a complete view of the business. Having the ability to explore the impact of and interplay among changes in production efficiency, product quality, customer demand, and service excellence isn’t possible without visibility into data and meaningful data analytics. This “big data” approach to manufacturing operations and supply chain optimization can deliver big results and is at the heart of the digital transformation initiatives of many industrial companies.