Industry 4.0 Live Security Patching

whitePaper | January 10, 2023

Now COVID-19 has made it even more pressing to switch to digital, it is high time to say goodbye to manual, paper-based workflows in mass production factories. Digitization is the way forward to Industry 4.0. Because that’s the key to an Overall Equipment Effectiveness (OEE) of world-class level (85%). In reality, most plants today have an OEE closer to 60%. We believe the solution lies in a digital manufacturing platform that supports all plant work processes and utilizes advanced technologies like Machine Learning, IoT, AI and mobile. In this whitepaper, we will show you how such a digital manufacturing platform could work by describing three manufacturing processes: Task Management, Deviation Management and Root Cause Analysis, and how digitalization of these processes can help you achieve an OEE of world-class level.

whitePaper | February 21, 2022

Industry 4.0 presents a once in a lifetime opportunity to modernise and digitise the industrial arena, and that alone should be reason enough to delve further into its possibilities.

whitePaper | February 7, 2020

This paper discusses four key focus areas for manufacturers looking to capitalize on the advancements of the fourth industrial revolution in Aerospace & Defense 4.0-and centers around some common feedback we hear from our customer base when they look to future-proof their business. Connectivity at the core, Configurability crucial, Intelligence must be evolutionary, Security paramount.

whitePaper | October 19, 2022

The 1980s saw the Western World’s academics and manufacturers cast their eyes eastward to the miracle of Japanese manufacturing. Specifically, its low cost, high quality, and low stock. As a result, Japanese products were successfully flooding the Western World’s market and were seen as “World Class”.

whitePaper | June 28, 2022

Enhancing product development using HPE systems powered by AMD EPYC processors with AMD 3D V-Cache technology

whitePaper | July 25, 2022

Manufacturers are demanding ever-greater precision, accuracy, and reliability from industrial automation. Fortunately, sensors, robot arms, grippers, and the software to connect and guide them have become increasingly capable. In response to the labor and supply chain challenges of the past few years, as well as the demands for personalization and rapid fulfillment, many factories and other facilities are looking to adopt robots or add them to their operations. In this Special Focus Issue, we look at how AI and machine learning are enabling more precise picking, among other applications.