Eckart Uhlmann - Industry 4.0 Science

Bridging Knowledge Gaps with GenAI in Industrial Maintenance

Bridging Knowledge Gaps with GenAI in Industrial Maintenance

Specific needs and contextualized solutions

, Philipp Lelidis, Eckart Uhlmann

The paper specifies the genAI support needs for industrial maintenance against the background of a sociotechnical systems perspective. Emphasizing two needs, accessing implicit operator knowledge and prioritizing complex regulatory knowledge, a multi-layer architecture is outlined for an AI-based context-sensitive maintenance assistance system (MAS). The main purpose is to bridge knowledge gaps with genAI if human expertise and human implicit knowledge are not available and to cope with sub-process-specific challenges of multiple regulations. The MAS facilitates access to technical knowledge, distributes expertise, and shares implicit knowledge of experienced operators across different layers of information processing. The approach goes beyond standardization and has a high potential to enhance organizational as well as individual resilience.

Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 50-57 | DOI 10.30844/I4SE.25.5.50

Intelligent Shopfloor Assistants

Intelligent Shopfloor Assistants

Increasing productivity through the use of generative AI

, Christopher Mühlich

In modern production companies, a heterogeneous IT landscape often complicates day-to-day work. A promising antidote is the use of intelligent agents, which use generative AI for routine tasks and can therefore increase efficiency. Whether these intelligent systems can be successfully integrated into existing networks determines whether the flow of information can be improved and manual effort reduced.

Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 64-71

Lifecycle Monitoring of Intelligent Production Systems

Lifecycle Monitoring of Intelligent Production Systems

An Innovative Concept for the Implementation of Smart Maintenance

, Eckhard Hohwieler, Claudio Geisert

Digitization of industrial production processes allows the introduction of datadriven business models using Cyber Physical Systems (CPS) and Industrial Internet of Things (IIoT). To ensure efficient manufacturing, production systems must be able to communicate and interact with their environment, to monitor wear conditions, and to selfadapt their behavior to a given situation. This article gives an overview about the historical development of intelligent production systems with focus on condition monitoring and predictive maintenance in an availability oriented business model.

Industrie 4.0 Management | Volume 35 | 2019 | Edition 5 | Pages 45-49

Cluster Identification of Sensor Data

Cluster Identification of Sensor Data

A Predictive Maintenance Approach for Selective Laser Melting Machines

, Sven Pavliček, Rodrigo Pastl-Pontes, Claudio Geisert

Existing selective laser melting (SLM) machine tools are not equipped with analytics tools. This paper describes an approach to analyze offline data, based on machine learning algorithms, to identify clusters. Normal states and error cases can be identified. The results can be used to develop condition monitoring systems that provide predictive maintenance for SLM machine tools.

Industrie 4.0 Management | Volume 35 | 2019 | Edition 1 | Pages 6-10

Biopolymers as Alternatives to Petroleum Based Plastics

Biopolymers as Alternatives to Petroleum Based Plastics

Darstellung der gesamten Prozesskette

Sebastian L. Riedel, Anja Spielvogel, Christoph Hein, Dirk Oberschmidt, Eckart Uhlmann

100 years ago the plastic era began with the first industrial production of plastic from petroleum. The polluting degradation of common plastic takes hundreds of years. Therefore, so-called bioplastic are becoming more popular in society. However, not every bioplastic is biodegradable or produced from renewable resources. This article focuses on the production of microbial produced polyesters with comparable properties to polyethylene, which is completely biodegradable in common habitats and can by synthesized from biogenic feedstocks.

Industrie 4.0 Management | Volume 33 | 2017 | Edition 1 | Pages 29-33

Cell Disruption for Biotechnology

Cell Disruption for Biotechnology

Bestehende Zellaufschlusstechnologien und neue Lösungsansätze

, Dirk Oberschmidt, Anja Spielvogel, Mitchel Polte, Julian Polte

Cell disruption technologies used in industry and research are versatile and divided into biological, chemical and physical technologies. Physical technologies are subdivided into mechanical and non-mechanical. Common used cell disruption devices like the French Press does not enable a continuously cell disruption with a high amount of sample volumes. The text at hand describes a new continuously operating cell disruption device developed at Fraunhofer-Institute for Production Systems and Design Technology. Concluding the application possibilities and potentials are described.

Industrie Management | Volume 29 | 2013 | Edition 6 | Pages 21-25

Self-organization in Manufacturing

Self-organization in Manufacturing

, Eckhard Hohwieler, Manfred Kraft

In the future, objects with embedded intelligence will be able to coordinate and steer the production sequence in a self-organizing production environment. Instead of existing central planning and control the new product-controlled manufacturing uses a multi-agent system with the possibilities of auctions and negotiation. The project “Self-organizing Production SOPRO” implements autonomous micro systems and software agents to provide embedded intelligence on objects in production field.

Industrie Management | Volume 29 | 2013 | Edition 1 | Pages 57-61

Holistic Optimization of Sculptured Surfaces Manufacturing (HoliMan)

Holistic Optimization of Sculptured Surfaces Manufacturing (HoliMan)

Klaus Schützer, Alvaro J. Abackerli, Erik Gustavo del Conte, Eckart Uhlmann

The mould and die industry is characterized by permanently rising competitive pressure. Competitiveness has to be increased with higher productivity through declined machining times and costs as well as the same or higher quality of the products to be machined. A key technology to reach these objectives is the 5-Axes HSC machining of sculptured surfaces, whose potentials are currently used but not bailed out. Therefore the main objective of the BRAGECRIM pro-ject “Holistic Optimization of Sculptured Surface Manufacturing” (HoliMan) is to identify and exploit the production accuracy and efficiency increasing potential. In this project Brazilian and German researchers work together on the holistic optimization of sculptured surface manufacturing by considering the significant impacts of the manufacturing process on the work-piece quality.

Industrie Management | Volume 27 | 2011 | Edition 2 | Pages 23-26

Innovative Production

Innovative Production

Technologies in the Automotive Engine Production

, Frédéric Runge

In the automotive industry increasing requirements for quality and an awareness of ever rising costs create significant demands for innovation in both developing and manufacturing. These requirements regarding the final product have to be met by using optimal materials during the development and by using appropriate tooling and machining technologies during the manufacturing process. In producing engines a wide spectrum of materials is used, which in turn are worked upon by a variety of manufacturing technologies. With respect to materials’ technology there is a trend towards developing application specific high performance materials with improved mechanical and/or thermal properties. Production technology then develops innovative and safe manufacturing processes and strategies to be able to apply the new materials.

Industrie Management | Volume 20 | 2004 | Edition 6 | Pages 31-35