Herausforderungen der Implementierung digitaler Prozessautomatisierung in der Lagerverwaltung im Automotivebereich

Abstract

(i) Motivation and Problem Statement The implementation of digital process automation is becoming increasingly important as it helps companies in logistics and warehouse management achieve efficiency gains and quality improvements. Specifically, BMW Group Steyr, which operates in engine shipping, is aiming for measurable improvements in throughput times, cost reductions, and error reduction. The objective of this thesis is to analyze the impact of digital process automation on the efficiency and quality of warehouse management at BMW, and to identify potential efficiency gains and improvements in product and service quality through the use of automation technologies. Challenges such as resistance to change, inefficiencies, quality issues, and the measurability of success will also be considered. (ii) Content Structure and Methodology The thesis is divided into several key sections: First, an overview of the theoretical foundations of digital process automation and the concepts of efficiency and quality management is provided. This is followed by a detailed examination of the existing business processes at BMW Group Steyr, identifying weaknesses and areas for improvement. The investigation includes the analysis of current logistics processes, the selection of appropriate automation technologies, and the development of strategies for their implementation. A case study methodology was used to measure the impact of automation on processes and quality. Additionally, case studies of specific automation projects within the BMW Group are examined to analyze success factors and challenges. (iii) Concrete Results The implementation of digital process automation leads to significant efficiency gains, reduces throughput times, and decreases errors. The quality of products and services is noticeably improved through automation. Measurements show a significant reduction in error rates and a decrease in costs. Successful automation projects depend on the correct selection of technologies, employee acceptance, and a long-term strategy. The thesis concludes with recommendations for further optimization and the targeted use of automation technologies.

Date of Award	2025
Original language	German (Austria)
Supervisor	Maximilian Gruber (Supervisor)