Fennes, P. (2020). Cognitive ergonomics in production: Concept development for optimized configuration of the collaboration between humans and new technologies in production [Master Thesis, Technische Universität Wien; Technische Universität Stuttgart]. reposiTUm. https://doi.org/10.34726/hss.2020.55192
Ergnomics; Production; Cognitive ergnomics; Enhancing employees working situation
en
Abstract:
In this age of increasing digitization, the cooperation between humans and assistance systems has bred new demands or concerns. In the area of production, tensions exist on the safety of workers and workflow efficiency. In regard to human-robot collaboration (HRK), a question arises as to the framework conditions needed to allow for direct collaboration in common, overlapping areas of work while at the same incorporating cognitive ergonometric aspects. The goal of this thesis was to develop an assistance-system in the area of production that is based on new technologies for the purpose of enhancing human-robot-collaboration and cognitive ergonomics. The aim was to have an assistance system that would make it possible for the production line to be connected to production targets so as to generate additional value for the company while at the same time increasing or enhancing the health of employees. The thesis design was based on secondary research using the theoretical-heuristic approach. After defining goals and requirements, suitable entry points for assembly system planning were identified. Compatibility and consistency were met by use of clear parameters and the step-by-step description of procedures. In order to assess validity, completeness, comparability and reproducibility, an application of the procedure was required, as demonstrated below. Principles of cognitive ergonomics were taken into account was well as well as the financial and efficiency aspects; this was achieved by examining its compliance with financial frameworks, comparing its implementation advantages to those of alternatives in the market, and identifying cost drivers within the process steps and system components. For the monetary valuation and audit of the overall system, normal methods of investment accounting must be used, such as cost, comparison, or amortization accounting.