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With the advent of People Analytics Big Data are made operative on the level of personnel management. An algorithm-based screening and analysis of all kinds of employee-related data and behavioral traces is expected to guarantee evidence-based decisions in an organizational field once considered ‘soft’ and subjective. The article summarizes the objectives and challenges of such data-driven personnel management, as well as its implications for employees and corporate labour policies.

The level of networking and complexity in intelligent manufacturing is constantly increasing. As a result, the demands on employees are growing, especially due to changing work tasks. In addition, the existing lack of skilled workers leads to bottlenecks. The use of remote technologies opens up new opportunities for collaboration, especially in maintenance. Considering the challenges of industrial maintenance, to what extent can remote technologies be used to efficiently meet these demands? This article provides an overview of the remote technologies currently used and discussed in practice and research. In addition, it shows which prerequisites must be created for an effective application of the technologies.

Traceability systems are used in large companies to trace and track products. Although these systems aid to avoid quality and cost risks, they are only used hesitantly in SMEs. This is partly due to a lack of market transparency. Consequently, a methodology is needed that enables SMEs to capture their requirements using reference products and processes and to map them to available software solutions. This paper deals with a methodology that simplifies the selection process and focuses on the approach regarding the creating reference products and processes.

Internal and external communication is a key success factor for Industrial Data Science (IDS) projects. In particular, complex issues must be prepared and presented comprehensively. Visualization contributes to a uniform and deep understanding of data, processes, models, and results by all parties involved. This article shows the practical benefits of different visualisations for communication and documentation in the respective phases of IDS projects.

In many companies there is still a lack of clarity about the “right” way to implement digitalization projects. Therefore, the article describes guidelines for the successful implementation of digitalization projects. They are derived from the experience of various practical projects and include considerations of economic efficiency as well as resources and staff. Structured as “Ten Commandments for Digitalization Projects”, they are designed to support actors in the practical implementation of digitalization projects

Through disruptive changes and an increasing globalization, companies have to rethink their traditional working models. Thereby, the digital transformation seems to provide a solid answer to this challenge and enables a rapid adaption to the new circumstances. Humans are of central importance to respond to these changing demands. A challenge hereby is, that humans have to be embedded in such a flexible working environment considering, that the competence profile is changing rapidly. In order to solve these challenges, a competence profile is provided. Furthermore, it is shown that a working model for the digital transformation enables a company to respond quickly and flexibly to new environmental conditions.

A fast flow of information throughout the entire supply chain is unavoidable for risk minimization and is not subject of a discussion in volatile times or crisis situations. The flow of information within the supply chain is characterized by various forms of transmission: EDI, cloud applications or other system interfaces are manifold in the areas of value-added networks for digital risk monitoring and process efficiency increase. If corporate processes are examined more closely, one area remains digitally underrepresented at the moment: The digital twin of a production tool. The handling of these production tools must now be taken to a new level.

The complex systems in the digitized industry are increasingly connected and generate heterogeneous data. Fog Computing aims to enable efficient data processing in the Internet of Things (IoT), however, its future development is uncertain. The question is, what the future of IoT in Germany’s manufacturing industry will look like, which role fog computing will play in it and what implications will arise for the digital working environment. The results of an interdisciplinary scenario process provide insights into possible future scenarios.

Due to an increased product variety, the need for flexibly configured assembly systems is steadily growing. In contrast to classic assembly lines with predominantly rigid conveyor technology, efficient, individual assembly routes with cycle-independent processing times are implemented in a dynamically interconnected assembly system using intelligent control and AGVs. This article presents the most important factors for the IT-related implementation of a dynamically interconnected assembly system and shows which existing standards from the field of Industry 4.0 can be used for this purpose.

The Physical Internet is based on physical, digital, and operational interconnectivity, without which a globally fragmented and standardized freight transport system could not operate efficiently. Valid input data are necessary for the self-control of global flows of goods. In addition, a high level of trust in control decisions is essential for a far-reaching acceptance of all actors and customers in the logistics industry. These two goals can only be achieved by high data-quality. In addition to increasing data-quality through automation or the use of advanced sensor technology, methods of data-fusion and decision-fusion offer great potential. This article describes a methodical approach to analyze these potentials. Furthermore, this procedure is exemplarily carried out using a transit center.