Autor: Rafael Mortensen Ernits

The aviation industry faces significant challenges in reducing the environmental impact of global air traffic. This results in the goal of net zero emissions by 2050. Innovations and new technologies must be implemented along the entire value chain to achieve this goal. In this context, investments and decisions have to be evaluated based on their potential to reduce environmental impacts. One method for operationalizing these issues is the life cycle assessment framework. This paper presents an analytical decision model for the potential assessment of LCA at aircraft manufacturers. The basis of the model is the derivation of criteria for the assessment and the identification of use cases along the value creation process. Based on the decision model, first concrete application scenarios are identified. (Only in German)

The COVID-19 pandemic has highlighted the additional challenges that events face in terms of appropriate crowd management. This paper is dedicated analyzing these challenges and existing approaches for the safe operation of events during pandemics. Based on this, an innovative framework is presented that uses intelligent crowd analysis and is applicable to an environment with volatile groups. In addition, the specifiv use case of trade fair events is considered in this framework.

In many fields of production for processing tasks with high frequency and repeatability, robots are commonly used. However, the use of industrial and service robots also increases in the logistics sector. Container handling, particularly the unloading of for example coffee sacks, has enormous potential for automation with robotics. The heavy weight together with the deformability of these sacks and unpredictable stack situations inside a container have the highest mechanical and cognitive demands on the gripper technology and the corresponding gripping strategy. This paper describes the development and implementation of such a gripping process.