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Increasing cost pressure demands productivity gains from companies – measured using Overall Equipment Effectiveness (OEE). Production planning and control (PPC) offers numerous improvement options, but the causes of low OEE are difficult to...

Industrial value creation has traditionally been based on costs, time, and quality, while sustainability has long been considered an additional burden. At the same time, the volatile environment requires robust approaches, even for small and...

The “twin transition” as the parallel digital and sustainable transformation, represents a structural change process. Data-driven technologies establish maintenance as a key lever for enhancing sustainability and efficiency. The paper...

The quality of textual data in a production context represents an influencing factor for establishing LLM-based information retrieval systems that has not yet been sufficiently considered. This article outlines the limitations of LLM-based...

In response to increasing demands for flexibility, quality, and scalability, a modular system architecture for the automated production of mRNA-based therapeutics was designed and implemented using digital twins in the context of Pharma 4.0. The...

Strict real-time requirements in path interpolation for machine tools pose challenges for error compensation systems: Position-dependent correction values must be reliably available every 2 ms. Detailed temperature models are too computationally...

The study examines current shocks and risks in the metal industry. The interviews show that a lack of digitalization, networks, and unsuitable corporate structures are delaying responses to market changes. The results were also compared to recent...

Based on five case studies, this article examines the design of AI-based business models in manufacturing SMEs. Using the 4V model, structural implications are analyzed along the dimensions of value proposition, value delivery, value creation, and...

This article highlights the use phase as pivotal for circular value creation in industrial business models. It analyzes the shift from reactive to proactive and autonomous service concepts. Targeted upgrades and data-driven solutions generate added...

Due to the high complexity of processes, production control represents a key challenge for manufacturing companies. In this regard, the automation of planning and control tasks using algorithms is becoming increasingly important. Reinforcement...