Optimierungsmöglichkeiten intralogistischer Prozesse durch ausgewählte Prozesserhebungs- und Optimierungsmethoden am Beispiel Spar AG

Abstract

Intralogistics, which is responsible for the organization, control, and optimization of internal material and information flows, has become increasingly important in recent years. Some reasons for this are globalizing markets, increased customer requirements, and the resulting pressure to make processes more efficient. Nevertheless, there are gaps in the specialist literature. Only a few scientific publications deal with the topic of optimization opportunities resulting from the use of certain process optimization and survey methods in intralogistics. In particular, data-based optimization methods such as Process Mining or the datadriven process improvement cycle are not well covered in the specialist literature. Therefore, this thesis examines the methods of Process Mining and the data-driven process improvement cycle, as well as process survey methods (gemba walk, chalk circle method) and the lean method 5S. The thesis is divided into a total of six chapters. The first chapter provides an overview of standard intralogistics processes, including the technical tools used. This is followed by an explanation of all the process assessment and optimization methods mentioned. Next, the optimization possibilities of 5S and Process Mining are presented on the basis of existing literature. Finally, a case study at SPAR examines the optimization possibilities that can be achieved by assessing various processes and implementing a data-driven process improvement cycle project. The thesis concludes with a chapter on conclusions and outlook. The results of this thesis show that Process Mining is capable of uncovering inefficiencies such as bottlenecks, inflexible storage space allocation, long dwell times, and quality defects in delivered goods. On this basis, concrete measures such as flexible storage space strategies, the use of a storage strategy, and the qualification of suppliers can then be derived. The Lean 5S method is mainly used to optimize the storage area. The optimizations consist of improved warehouse organization, reduced search times, and increased occupational safety. The selected process survey methods were applied during the internship at SPAR to identify optimization opportunities in the areas of goods receipt, order picking, and goods issue. The data-driven process improvement cycle identified a potential inventory optimization in SPAR's high-bay warehouse.

Date of Award	2025
Original language	German (Austria)
Supervisor	Franz Staberhofer (Supervisor)