Autor: Holger Dander

Optimizing Production Processes with AI-based Knowledge Transfer

Optimizing Production Processes with AI-based Knowledge Transfer

How AI can secure human-oriented, experiential knowledge in the KI-eeper project
Nicole Ottersböck, Holger Dander ORCID Icon, Christian Prange ORCID Icon
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.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 6 | Pages 51-54
Socio-Technical Learning System at the Workplace

Socio-Technical Learning System at the Workplace

Enhancement of Employee Competence through Socio-Technical Assistance Systems for Flexible Use at the Workplace
Holger Dander ORCID Icon, Patrick Adler, Gerd Witt
The complexity of manual activities in different areas of a company is increasing due to smaller batch sizes, higher product variants and shorter product life cycles. The balanced provision of information ensures shorter training times, higher acceptance among employees and can be used directly at the workplace. For system implementation, organizational factors must also be considered in accordance of a socio-technical system design.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 47-51 | DOI 10.30844/I40M_21-6_S47-51
Self-loading Workstation Systems in Logistics

Self-loading Workstation Systems in Logistics

Networked Workstation System for Proactive Bottleneck Avoidance within Demanding Intralogistics Processes
Patrick Adler, Holger Dander ORCID Icon, Gerd Witt
Modern logistic processes are still characterized by manual labour. In general, mainly unqualified or low-skilled employees are used to carry out value-added services. Individual workloads, employee skills and technical workplace equipment are linked in a developed system. By simulating the effect of changes in workplace equipment, optimizations can be identified. The self-developed algorithm can also be used in other industries.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 5 | Pages 29-32
Process Model for the Industry 4.0

Process Model for the Industry 4.0

Structured Introduction and Implementation of Digitalizations Measures in the Manufacturing Industry
Simon Hennegriff, Sebastian Terstegen, Sascha Stowasser, Holger Dander ORCID Icon, Patrick Adler
Comparison and evaluation from research findings of 28 process models considering digitalization measures are presented. Furthermore, our own-developed process model, based upon interviews with professional managers, is reported. Our process model enables managers to deal with technology coming along with industry 4.0, such as the implementation of socio-technologies.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 3 | Pages 47-50