Typeset

Finger fractures are usually still casted with plaster bandages. However, to avoid acampsia of the finger joints, flexibility exercises are necessary. Further disadvantages of the rigid plaster bandages are insufficient breathability and water resistance, weightiness and the necessity to apply wet and pliable plaster bandages to the injured patient. This article describes how individually designed hand orthoses without these disadvantages are attainable. With scans, modern software like STL editors (STL: Standard Tessellation Language) or CAD systems (CAD: Computer Aided Design) and additive manufacturing, complex, light weight and breathable structures are possible. Contrary to the solely mechanical art of casting with plaster, the new approach requires expertise in data processing and additive manufacturing seldom found in medical facilities. But this opens opportunities for service providers.

The importance of procurement in industrial management has largely grown over the last decades. Yet, the increasing strategic relevance also calls for more future orientation. This Delphi study develops a profound overview of topics that comprise an innovative“Procurement 2030”.

In order to withstand disruptions manufacturing companies need to improve their robustness. In the past only infrastructures and resources were considered in the context of robustness, neglecting the interconnectedness of processes. However, a consideration of processes in the context of robustness is highly relevant. Process modeling is used for the design and analysis of processes. This paper describes the requirements for modeling methodology and evaluates existing approaches. (Only in German)

The logistics industry offers numerous opportunities for data-driven solutions, such as improving the part feeding problem in assembly line industries. A data-based approach for will lead to an improvement of cost-effectiveness through optimized processes, resource utilization, and consistent supply to the assembly line. The generated approach is a mixed integer programming model which considers limited storage space, uses constraints, and various cost factors related to transport, replenishment, and picking.

This paper examines various forecasting models used to predict business crises in the automotive and electronic manufacturing industries, with a focus on German companies. By comparing the performance of these models, we aim to identify the best approach for each industry. We also discuss real-world business case scenarios to demonstrate the practical implications of our findings, including the role of risk management in supply chain and procurement departments. Our results show that the most effective model for forecasting crises in the automotive industry is the VAR model, while the EWS model is best suited for the electronic manufacturing industry. Furthermore, we identify key risk factors that supply chain and procurement departments must consider enhancing their resilience in the face of crises.