Potenzial der Digitalisierung für die Palettenlagerung in mittelständischen Produktionsunternehmen

Abstract

The present study examines the potential of digitization for pallet storage in medium-sized manufacturing companies. The aim is to determine how modern digital technologies can improve the efficiency and cost-effectiveness of warehousing. The motivation arises from the need to reduce rising storage costs and space requirements while enhancing the competitiveness of companies through technological innovations. The study begins with an analysis of currently used storage systems and the identification of new technologies that have emerged through digitization, such as IoT, artificial intelligence, and blockchain. Through a 12-week internship at a medical technology company in Upper Austria, the practical application and implementation of a digitized storage concept are investigated. Data analyses and comparisons of key performance indicators before and after the implementation of new technologies form the methodological basis of this thesis. The implementation of specific digitized storage solutions often shows a significant improvement in the key performance indicators. The space utilization rate was increased by over 10% in one application, while access times and turnover performance were significantly improved. The introduction of IoT enabled more precise inventory monitoring, reduced errors, and increased overall efficiency. Artificial intelligence and blockchain technology contributed to the automation and improved transparency of storage processes. It is demonstrated that digitization represents a transformative force for warehouse logistics. Medium-sized companies that invest in digital technologies can significantly enhance their competitiveness and realize long-term benefits. Future research should focus on the further development and implementation of new technologies, such as autonomous robots and machine learning. Additionally, examining the long-term economic viability and sustainability of digitized storage solutions could provide valuable insights.

Date of Award	2024
Original language	German (Austria)
Supervisor	Franz Obermair (Supervisor)