human-machine systems

Towards Designing Adaptive and Personalized Work Systems in Manufacturing

Towards Designing Adaptive and Personalized Work Systems in Manufacturing

David Kostolani Institut für Managementwissenschaften, Sebastian Schlund ORCID Icon, Technische Universität Wien
Adaptation of work to humans instead of humans constantly adapting to work systems and work environments has been a goal of ergonomics since the 19th century. To date, an actual adaptation of work to the specific features, conditions and requirements of individual users has so far only taken place in rudimentary form. The possibilities have now opened up by the advances of Cyber Physical Production Systems (CPPS). This enables a renewed attempt to implement the goal of adapting work systems to workers. Integration of advanced sensory skills into work systems within manufacturing allows better recognition of the work environment and the actual state of the system. Together with actuator capabilities, it enables adaptive work systems to adjust their structure and behaviour to the anthropometric and the cognitive features and requirements of the systems’ users. However, a framework that integrates the concepts of adaptivity and personalization into the work system model and work system ...
Industry 4.0 Science | 2022 | | DOI 10.30844/WGAB_2022_5
From Automation Engineering to Cognitive Technical Systems

From Automation Engineering to Cognitive Technical Systems

Methodical Foundations and Applications
Dirk Söffker, Dennis Gamrad, Elmar Ahle
The realization of cognitive technical systems deals with the implementation of a knowledge representational level inside technical systems. Hence, cognitive functions and processes (planning, learning etc.) can be used. Especially, the realization of learning (in contrast to adaptation) is the key for novel applications. In application, fields dealing with the guidance of complex systems which can not partially or completely be performed by human operators depending on the system itself, promise a new quality of automation.
Industrie Management | Volume 24 | 2008 | Edition 4 | Pages 57-60