Manufacturing 2025: Bolder Vision, Stronger Purpose

whitePaper | July 29, 2023

Your design engineers are masters at coming up with elegant solutions to challenges. But they probably aren’t familiar with the cuttingedge manufacturing technologies, processes, and materials that can transform those solutions into feasible medical components and products that are cost-effective to produce and valued by end-users. That often results in a disconnect between design and manufacturing that can cost you both time and money.

whitePaper | October 23, 2021

Artificial Intelligence (AI) will increase the level of intelligence in the manufacturing industry by promoting, inter alia, the matching of production and demand, improving quality inspection, increasing product yield, reducing product failure rates, and improving production efficiency.1 While the last decade of Industry 4.0 was determined by technology-driven innovation, the coming years will focus on data- and intelligence-driven innovation. In this perspective, AI is an enabler for the transition from smart factories towards intelligent factories with self-optimising and self-healing characteristics. While smart factories are capable of applying previously acquired knowledge, intelligent factories will be able to autonomously acquire new knowledge and apply it for self-optimisation purposes.

whitePaper | May 20, 2022

More than almost any other industry, the printing industry has been experiencing an uninterrupted series of trends towards digitization for decades. As a result, this change repeatedly forced established business models to be put to the test and new goals to be defined. In all process stages, from media design to print finishing, production processes have been digitized and automated to an extent that would have seemed almost inconceivable just 25 years ago. The increasing demand for variable content, ever-shorter print runs, and expedited delivery time has been driving this development further, as well as presenting print shop logistics with new tasks. Job management and Production Planning and Control (PPC) are currently being reorganized by the Internet, mobile communications and the transfer of crucial processes to the cloud.

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 | November 12, 2019

Today’s economies are changing dramatically, driven by developing and emerging markets, innovative products and business models, and the accelerated rise of advanced technologies, such as machine learning and artificial intelligence. Globally, the automotive and manufacturing segments have seen record-setting profits over the past decade-and also transformative change.

whitePaper | May 2, 2023

Much of the manufacturing industry is overwhelmed with the digital transformation shift. Many manufacturers are just starting this digital journey, seeking ways to transform and innovate to adapt and succeed. Digital transformation for manufacturers can mean different things, from deploying a new digital experience for customers to a completely new business model. Some changes we have seen, such as the use of real-time data to improve operations, forecast outcomes, and map out risk-based guidance, are greatly beneficial for plant managers and factory personnel. Moreover, they can help manufacturers ensure business continuity and maximize return on investment (ROI