Design

The circular economy (CE) promises a more sustainable use of resources by managing products in a cycle and striving for a transformation from a linear to a circular supply chain. In particular, digital technologies as enablers for the circular economy have been increasingly researched and applied in practice in recent years. This article describes which digital technologies offer potential for increasing circularity in the production of circular photovoltaic (PV) systems.

More than 99% of German companies are small and medium-sized enterprises (SMEs), which therefore represent an important part of industrial supply chains. New regulations are increasing the pressure on companies to create transparency along the supply chain so that the role of SMEs is also coming into focus. However, they are often confronted with limited financial and human resources. Based on a quantitative survey and a literature review, this article deals with the question of what SME-friendly approaches could look like.

The importance of procurement in industrial management has largely grown over the last decades. Yet, the increasing strategic relevance also calls for more future orientation. This Delphi study develops a profound overview of topics that comprise an innovative“Procurement 2030”.

Despite the fact that SME innovation is critical to a country’s economic success, SMEs spend less than 50 % of their budget on R&D when compared to large companies. “Open innovation”is seen as helping SMEs to improve their competitive position. For regions dominated by SMEs it is important to develop an ecosystem that supports open innovation processes. Universities can be key enablers within these ecosystems. They support SMEs with their expertise in science and engineering as well as in innovation and project management. In this article we present a case study to demonstrate the role of a university of applied sciences in an open innovation ecosystem.

Implicit experiential knowledge will be lost through the retirement of the babyboomer generation. This know-how is difficult to capture and transfer. The KI_eeper project aims to develop an efficient AI-based system that automatically identifies and stores knowledge in the work process. The resulting knowledge base will provide assistance to all employees. The system will be designed in cooperation with employees according to their needs to gain high user acceptance.