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The advancing digitization leads to new possibilities for the design and digital support of business processes. In particular, non-R&D-intensive, mostly small and medium-sized enterprises, face great challenges in realizing these potentials. In the context of this article, various application scenarios are outlined. A detailed example of a non-R&D-intensive company shows how the procurement can be supported by the analysis and forecasting of relevant data, e.g. process data or the availability and costs of components, as well as the creation of the offer.

Over the last years, the importance of logistics has changed significantly. While logistics used to be a core function of most companies, logistics services nowadays are often outsourced to service providers. This leads to new organizational structures and enables innovative business models. Caused by the digitalization of logistics, efforts for integration and coordination rise and can only made controllable by intelligent use of IT. This contribution examines the field of tension of logistics and IT. It shows which challenges to face and how to overcome these by using Big Data technologies.

The digitalization is not only the basis of new business models, smart products and innovative services but also a source of uncertainty. This uncertainty about the economic benefits presents a major implementation barrier. To digitize the german production site until 2025 a reduction of risks is mandatory. The developed life cycle model of Industry 4.0 supply chain networks supports a transparent evaluation of risks. Findings show that there exists a gap between perceived and real risks. For a successful transformation, companies need to overcome those barriers.

The one-of-a-kind production often is characterized by a high share in manual work. Information gathering requires an essential percentage of the workers time. The article shows as Augmented Reality can help to reduce the efforts of information gathering and to increase productivity.

Due to high safety requirements of the aviation industry, the appraisal and documentation of all repair processes, including the final certification of the affected components play a central role. The documentation of all parts of the workflow including materials and machine process parameters as well as the obtained test results leads to inefficient processing times and high costs. To address this problem, Lufthansa Technik AG Hamburg launched the project “Installation of a plenum production” and illustrates how an extensive digitalization and automation of the underlying processes can lead to a reduction in processing time of up to 70%.

The digital transformation of business models plays a special role, because business models contain different elements, which can be digitally transformed. The complexity of production and logistics systems generates the demand for robust and error-resistant control options in the pursuit of corporate objectives. The control of production and logistics systems, especially, is often inadequately managed with methods of exact mathematical specifications alone. The objective of the following contribution is to define introduce a roadmap, including some examples for some instruments.

Due to an ongoing digitization of everyday life and fast changes in the business environment, enterprises face numerous external and internal challenges. In order to stay compe-titive, enterprises, especially SMEs require an effective use of information and communication technology (ICT) as well as a deep understanding of ICT in general and in digital innovation in particular. In this paper, we reveal the self-assessment of 24 companies regarding their own digitization level and ICT use as well as regarding further aspects, challenges and requirements regarding the complex topic of digitization.

Shaping intelligent production environments is one core element of Industry 4.0, but has progressed differently in the various branches. While concepts are well advanced in automotive, SMEs within textile industry still need assistance. As demands on individualization and responsiveness are increasing, a Smart Factory for textile SMEs must be designed. The futureTEX consortium therefor is working on shaping a textile Smart Factory and implements it prototypically by using demonstrators.

Assistance technologies are an approach to support skilled workers in their work processes that are currently changing under the influence of the 4th industrial revolution. They aim at reducing physical and psychological stress by processing the big amount of decision-relevant data in a way that it serves workers for their decision-making process. Work places need to be designed in a way that they encourage learning and competence development and that involves future users in this design process.

In the context of this article, a methodology for an efficient transfer of knowledge from research into industrial practice regarding cyber-physical production systems is presented. The methodology serves above all to sensitize small and medium-sized (SME) enterprises to the possible potentials of the so-called Industry 4.0. The starting point for this is the need-oriented and individual specification of knowledge required for a practical knowledge transfer and the development of tailor-made competence profiles of future employees in smart SMEs