Autor: Julia-Anne Scholz

To show SMEs a way to identify changes at an early stage, the interactive situation awareness monitor developed by Fraunhofer IPK is used. This gives companies an individually structured overview about their environment and their company (e. g. order situation). The area of the corporate environment is currently being expanded to include the compa- ny-specific component of automatic recognition of context-related data in order to provide relevant information to a company automatically. For this purpose, a machine learning model is developed and trained using company-specific data sets. First- ly, it is necessary to create the data sets with relevant and irrelevant environment information. For that, the PESTEL analysis is applied in this paper. Further- more, advantages and disadvantages of the analy- sis for generating data sets are discussed.

The SARS-CoV-2-crisis has brought many companies into existential distress. The sudden loss of suppliers and customers as well as short-term changes in regulations and relevant information sources pose challenges for companies. The linking and visualization of information from the corporate environment with internal capabilities remain an unsolved problem. This article shows how a situation picture can help companies to act in a goal-oriented manner.

Trends towards more customized products and shorter product life cycles are creating challenges, which companies are trying to meet with the use of Industrie 4.0 technologies. The digitalization and automation associated with this is causing employees in the manufacturing industry in particular to fear changes in work processes and requirements. This paper proposes four key socio-technical design measures to enable enterprises to cope with the new demands of human work in Industrie 4.0 - and thus to counteract fears. The focus is on increasing entrepreneurial agility and expanding employee skills.