Transform Your Industry 4.0 Journey with a Modernized Manufacturing Data Supply Chain

whitePaper | October 25, 2022

Traditionally, early-stage and late-stage process development have been done separately, with early-stage mostly focused on material production and late-stage on process intensification. As more molecules in development fall under an orphan or fast-track indication, the traditional approach of linear development stages can be counterproductive—not to mention expensive—due to investing resources in perfecting a process prior to early clinical phase success.

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 | November 12, 2022

Since the first Industrial Revolution, the manufacturing process has been revolutionised from water and steam-powered machines to electrical and automated ones. The term "Industry 4.0" or simply I4 was introduced by the German government in 2011, which encourages the use of modern technology in the manufacturing process. It defines that automation technology can be improved by offering different methods of self-configuration, self-optimisation and self-diagnosis. The fourth era of revolution (Industry 4.0) is all about connectivity trends, advanced material, processing technology, service orientation and collaboration in advanced manufacturing networks. It presents a unique level of control and coordination over the whole value chain of the products. Internet of things (IoT) and machine to machine communication (M2M) are merged to improve communication and automation. It creates a new set of design principles for effective and computerised control of the manufacturing process which includes

whitePaper | November 1, 2022

The 21st century is the era of the fourth industrial revolution: but what does it mean to adopt Industry 4.0 solutions for Italian small and medium-sized enterprises? From the invention of the steam engine to that of the first IoT device (a smart toaster), a lot of progress has been made in innovative fields. Before going into detail, let’s try to give a general overview of the previous industrial revolutions, so we have all the appropriate tools to understand how these revolutionary epochs have changed today’s society

whitePaper | August 1, 2022

One of the most important decisions that an asset-intensive enterprise must make is how to manage and care for its assets (i.e. equipment, buildings, plants and machinery). This is a decision that affects everyone in the organization, from the plant operators, to the engineers and all the way to executives in the C-suite. The solution will be different depending on the needs of the business and how each uses its assets.

whitePaper | May 25, 2022

This white paper takes a fresh look at the vision for Industry 4.0 and suggests ways in which to take advantage of the broad view of the concept. Implementations of Industry 4.0 have mostly focused on using new technologies for economic benefits. Sustainability and social aspects have received less attention, despite their importance and potential for economic benefit as well, as we will show.