On the one side, Industrial competitiveness today means shorter product lifecycles, increased product variety, and shorter times to market and customized tangible products and services. To face these challenges, the manufacturing industry is forced to move from traditional management, control, and automation approaches towards industrial cyber-physical systems. On the other side, several emergent engineering approaches and related Information‐Communication‐Control‐Technologies, such as Multi‐Agent-Systems, Service‐Oriented Architecture, Plug‐and‐Produce Systems, Cloud and Fog Technologies, Big Data and Analytics, among others, have been researched during the last years. The confluence of those results with the latest developments in Industrial Digitalization, Systems‐of‐Cyber-Physical-Systems Engineering, Internet‐of‐Things, Internet‐of‐Services, and Industry 4.0 is opening a new broad spectrum of innovation possibilities. The PERFoRM (Production-harmonizEd-Reconfiguration of Flexible Robots and Machinery) approach is one of them. It teaches the reader what it means when production machines and systems are digitalized and migrated into Industrial Cyber-Physical Systems and what happens when they are networked and start collaborating with each other and with the human, using the internet. After a Technology Trend Screening and beyond a comprehensive state-of-the-art analysis about Industrial Digitalization and Industry 4.0-compliant solutions, the book introduces methods, architectures, and technologies applicable in real industrial use cases, explained for a broad audience of researchers, practitioners, and industrialists.

Using digital technologies can support the flow and use of digital information in a timelier manner both within and between production systems. Smart manufacturing systems use these enabling technologies to maximize the capabilities cost, delivery, flexibility, and quality. The focus in industry so far has mainly been on the technologies and systems, but to succeed in digitalization, it is vital to understand how the technologies can be put into practice to meet the needs of an industrial organization. The focus of this article is to demonstrate how digital technologies can be used to enable data from production systems to inform decisions and generate value for an organization. This article showcases this with examples from real-world industrial cases, and the technologies used are 3-D laser scanning and 5G communication. The 3-D laser scanning is used to collect spatial data to build a virtual representation of a factory, and 5G is utilized to collect machine data from various data sources, e.g., the machine computer and external sensors. The results show that available data can support multiple roles in the organization and throughout the different phases of a production system. The status of the machine can be monitored in real time, a design can be evaluated against a system's behavior, an organization can learn from the data transformed into information, and the virtual representation provides a very accurate and photorealistic representation of a system as-is. Digital technologies can enable more data representing the system and support the organization in knowing more about their processes when used in the right way.