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Since 2011, Industry 4.0 stands for the vision of fully networked, intelligent production. However, around 15 years later, it is clear that German industry is still a long way from realizing this vision. This article examines the current maturity...

This article presents an LLM-based, adaptive assistance system for the diagnosis and repair of industrial machines. Free texts are cleaned up, categorized and transferred to curated fault trees. The system combines RAG with dialogue, assigns...

Predicting temperatures and residual stresses is essential in the glass tempering process. Classical numerical solvers are accurate but slow in large domains. This study develops a variant of a Multi-Input Fourier Neural Operator (MIFNO) as a fast...

Digital B2B platforms hold potential for platform owners and users, but are characterized by uncertainty, investment risks, and complex governance. In the IntWertL project, design principles for operating models for capital-limited, heterogeneous...

Factory planning is currently experiencing a major shift, marked by increasing uncertainty. In this context, four trend topics are widely discussed yet lack a clear industrial baseline: systematic risk management, a continuously updated factory...

Digital factory models offer significant potential for manufacturing. However, SMEs often fail to benefit because the required manual remodeling effort is prohibitive. This paper presents a method for the immediate utilization of point clouds, where...

The paper develops an integrated approach linking the energy value stream method to industrial energy system planning. First, it identifies process-specific opportunities to increase energy efficiency and derives suitable improvement measures. This...

This paper presents a hybrid sensor approach for automated rivet assembly that integrates drilling, sealing, and joining. Using laser triangulation and machine vision, setting depth and sealant wetting are validated in-process, substituting manual...

Wirebonding as a technology for producing electrical connections is characterized by numerous non-linear and mutually influencing process parameters. The developed random forest model was trained on 690 data points on different substrates and...

The article presents a marker-free track & trace solution for electrodes and other continuous materials. Identification based on the unique surface microstructure enables cross-process recognition and traceability of individual electrode...