Autor: Michael Weiß

Digitization and sustainable development are playing an important role in many areas, especially in production, although it is still unclear how they influence each other. First studies already addressed the question of how digitization can impact sustainability. It became clear that an evaluation method with indicators from all sustainability perspectives is needed. In this article, we will present a model-based evaluation method especially for ecological and economic sustainability, taking digital textile printing as an example. (Only in German)

The ongoing digital transformation brings pressure to adapt, but also potential for small and medium-sized enterprises (SMEs) in the textile and clothing industry. High investment costs for new technologies, insufficient employee qualifications and a lack of standards are examples of obstacles that explain the reluctance of many SMEs to digitalize. There is therefore a need for SME-specific information, both in terms of possible solutions and specific implementations, as well as support for the initiation and realization of implementation projects. The competence center “Mittelstand 4.0-Kompetenzzentrum Textil vernetzt”, which is funded by the Federal Ministry for Economic Affairs and Energy (BMWi), is intended to meet these needs, illustrate the potential of digitization and networking, and show SMEs how to get there.

Industrie 4.0 with the digitisation of products and processes offers companies a large pool of information for process optimization. In many cases these information cannot be used directly in the textile industry, as raw materials are subject to natural fluctuations and the influencing factors and interactions of many product and process parameters are only partially known. In this contribution, an approach is presented that combines information from production with the experience of the employees and thus supports product and process optimization. The approach is based on the machine learning method “Case-Based Reasoning”.