Industry 4.0 considers integration of IT and control systems with physical objects, software, sensors and connectivity in order to optimize manufacturing processes. It provides advanced functionalities in control and communication for an infrastructure that handles multiple tasks in various locations automatically. Automatic actions require information from trustworthy sources. Thus, this work is focused on how to ensure trustworthy communication from the edge devices to the backend infrastructure. We derive a meta-model based on RAMI 4.0, which is used to describe an end-to-end communication use case for an Industry 4.0 application scenario and to identify dependabilities in case of security challenges. Furthermore, we evaluate secure messaging protocols and the integration of Trusted Platform Module (TPM) as a root of trust for dataexchange. We define a set of representative measurable indicator points based on existing standards and use them for automated dependability detection within the whole system.

The digital transformation of industrial production is driven by the advance of Cyber-Physical Production Systems (CPPS) within which raw materials, machines and operations are interconnected to form a sophisticated network. Making such systems self-adaptable is a priority concern for the future implementation of Industry 4.0 application scenarios. In this position paper, we design a meta-model and use it as a tool to describe an end-to-end communication use case from an ongoing research project. Based on this use case we develop a business process performance and security trade-off model, which shows that maximazing both parameters at the same time is not possible, thus an efficient balance between them has to be achieved. Motivated by the result, we propose self adaptation as a solution towards a flexible and secure end-to-end communication in Industry 4.0. To identify and document the self-adaptation points in a structured methodological and lightweight way we use the bespoken meta-model.

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In the early 1990s the term Business Process Management developed out of different earlier approaches and since then, this management approach faces numerous evolutions. This research deals with the effect and impact of different shaping forces on the processes within organizations and the extent to which their influences will require businesses to rethink their process management This was done via quantitative research where business process professionals world-wide were asked to provide their expertise. The results of this research are that innovation and digitization followed by strategy and leadership and management are the most influential factors for the future development of Business Process Management.