Human-and Task-Centered Assistance Systems in Production Processes of the Textile Industry: Determination of Operator-Critical Weaving Machine Components for AR-Prototype Development

Smart manufacturing concepts merge modern production machinery and digital technologies in Cyber-Physical Systems (CPS). CPS consist of intelligent real-time-capable and networked sensors and actuators. The operation of such advanced machinery requires new and substantial skills in employees in various qualification phases. Successful implementation strategies take these varying skills of the workforce, which result from diverse cultural, educational, age-or gender-related socio-demographic variables, into account. Thus, the need for a differential-dynamic job design in textile production seems more relevant than ever, especially regarding the increasing number of older employees due to demographic changes in high-wage countries,. An important measure that is intertwined with the implementation of advanced manufacturing concepts in textile production is supporting employees in their development of skills concerning these new production methods. For this purpose, the development of Augmented reality-based assistance systems in connection with up-to-date textile machinery is regarded as a promising step towards the successful implementation of adequate, user-adaptable Cyber-Physical Systems.