Towards a model to identify the need and the economic efficiency of digital assistance systems in cyber-physical assembly systems

Digital assistance systems (DAS) in cyber-physical assembly systems (CPAS) encounter the challenge of increasing need for transparent and personalized information that facilitates correct and efficient execution of an individual assembly task. Risks of rising physical and psychological stress triggered by constantly changing work tasks - due to lot-size one - and the resulting issue that work routine cannot be built up prospectively in CPAS can be encountered by DAS. This paper illustrates an approach for a planning and analysis model to clarify requirements of DAS components as well as productivity values of such systems at the same time.