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Disruptive trends such as digitalization or the sustainability transition are changing the requirements for product portfolio management. This paper develops a reference model and evaluation method that integrates financial and qualitative factors....

Data from CAE-based vehicle development enables planning, validation, and execution of automated disassembly and sorting according to R-strategies (reuse, recycle, recover, etc.). This paper addresses automated disassembly simulation, based on...

Large Language Models (LLMs) have quickly become a central component of digital transformation. While their use is widespread in customer service, marketing and sales, the question arises as to what potential LLMs offer in the production...

Similar to other sectors, the manufacturing industry in Germany is faced by challenges. They include a shortage of skilled labor, rapid advancements in value creation systems, demographic shifts, and an increased willingness to change jobs. This...

The validation of product characteristics is a key success factor in the development of increasingly software-driven systems. An incomplete requirements elicitation is one of the main causes of development errors and product recalls. An integrated...

As an energy carrier, green hydrogen will play a central role in the decarbonization of high-emission sectors. There are potential synergy effects for the technologies required that have not yet been sufficiently researched and utilized. Using the...

This article presents a mobile assistance system for communication and interaction in heterogeneous assembly tasks in SMEs. The assistance system was iteratively developed as a prototype tablet app with the involvement of assembly workers from two...

Hairpin technology has established itself as the standard for electric drives due to the possibility of substituting stochastic winding and drawing-in processes with deterministic forming and assembly processes. At the same time, the technology is...

This study investigates the feasibility of various classification algorithms for real-time, machine-independent instability detection in milling processes. Based on 136 measurements with 5.6 million data points, two new classification methods are...