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Four essays on the future of robotic process mining and its influence on robotic process automation
(2026)
Despite significant technological advancements, the development lifecycle of Robotic Process Automation (RPA) bots remains heavily labor-intensive and difficult to scale. Robotic Process Mining (RPM) has emerged to automate this lifecycle by discovering routine behaviors directly from user interaction (UI) logs. However, current state-of-the-art RPM tools depend on clean, pre-segmented recordings, effectively shifting the burden of task isolation onto the user. In reality, unsegmented real-world UI logs are highly unstructured, contextually diverse, and filled with intra- and inter-routine noise.
This cumulative dissertation addresses these limitations through a strategic and operational enhancement of the RPM pipeline across four research essays. First, it examines how human developer decision-making shapes RPA bot programming and maps these practices to identify gaps in current automation tools. To bridge the semantic gap between recorded actions and deployable code, an ontology-driven conceptual framework is introduced to formalize user actions and RPA building blocks. The technical core of the dissertation introduces two novel unsupervised time-series data mining approaches designed to decouple routine discovery from human intervention. By leveraging Word2Vec encoding, matrix profiles, and grammar induction, these methods adaptively segment variable-length automation candidates directly from continuous, high-noise work sessions. Ultimately, the artifacts presented in this work resolve critical semantic and scalability bottlenecks, paving the way for fully autonomous and resilient hyper-automation enterprise capabilities.
This cumulative dissertation addresses four problems in resilient network design under disruption uncertainty with a specific focus on waterborne disruptions that affect the transportation costs within the network.
The first paper covers the integrated resilient network design problem under transportation cost un-certainty. The focus is on the integration of strategic, tactical, and operational resilience decisions, as well as the influence of the ability to predict disruptions in the short-term, and potential limitations of the operational decisions within capacity limits. The problem is modeled as a two-stage stochastic program. In addition, a problem-specific Benders decomposition algorithm is developed with a non-standard split of decision variables to solve particularly large problem instances.
The second paper focuses on the data-driven optimization of the operational inventory replenishment decision under transportation cost uncertainty. The problem is presented as a multi-stage stochastic program. To solve the problem, a cost-focused machine learning framework is proposed that uses the replenishment decisions under perfect information to train a decision tree that then learns a cost-optimal replenishment policy.
The third paper evaluates the influence of product characteristics by considering the multi-product two-echelon resilient network design problem under transportation cost uncertainty. Both different product characteristics and the dependency of considering multiple products are analyzed.
The fourth paper outlines a seven-step framework that covers the end-to-end steps a decision maker needs to follow to increase their supply chain resilience. The framework guides decision makers through the process from outlining clear resilience objectives to monitoring overall and enduring success. In addition, problem specifics and characteristics for the network design problem under waterborne disruptions are outlined to facilitate future research.
Abstract
Die Fotoreportage in Deutschland von 1925 bis 1935.
Eine empirische Studie zur Geschichte der illustrierten Presse in der Periode der Durchsetzung des Fotojournalismus
Diese Studie befasst sich mit der Entwicklung der Fotoreportage in deutschen illustrierten Wochenzeitungen (1925-1935). Nur wenige Behauptungen zur Entwicklung der Fotoreportage sind empirisch fundiert. Die vorliegende Studie untersucht zwei Hypothesen mittels einer quantitativen Inhaltsanalyse: Zum einen die These, dass die moderne Fotoreportage ab 1929 von Stefan Lorant entwickelt wurde, und zum anderen Gidals Feststellung, dass 1933 der neue Bildjournalismus in Deutschland zusammenbrach und sich hauptsächlich propagandistischer Bilder bediente.
Das Korpus enthält alle Ausgaben der Berliner Illustrirten Zeitung, der Arbeiter-Illustrierten Zeitung, des Illustrierten Beobachters und der Münchner Illustrierten Presse von 1925 bis 1935. Die Inhaltsanalyse zeigt, dass die Anzahl der Fotoreportagen ab 1927 stark anstieg. Fotoreportagen wiesen schon in allen vier Illustrierten narrative Strukturen und Elemente (ein zweiseitiges Layout, eine ansprechende Typografie, wechselnde Fotoformate, Schlüsselbilder, Freistellungen und Überlappungen von Fotos) auf und halten dem Vergleich mit der modernen Fotoreportage Gidals stand. Nach 1928 stieg die Anzahl der Fotoreportagen in allen vier Medien weiter an. Die narrativen Gestaltungselemente gewannen bis 1932 immer mehr an Bedeutung. Ab 1933 zeigte sich eine Entwicklung zur mehrseitigen Reportage – mit propagandistischem Inhalt und zur großformatigen Fotografie, wogegen die Anzahl narrativer Elemente abnahm.
Die moderne Fotoreportage entstand also nicht erst von 1929 bis 1931 in der MIP, sondern bereits ab 1927 in der MIP, AIZ und im IB (BIZ 1929). Ab 1933 erschienen im Layout veränderte, propagandistische Fotoreportagen. Die narrative Struktur und Ästhetik des Layouts entsprach in vielen Fällen immer noch den Kriterien der modernen Fotoreportage. Ein Zusammenbruch des Bildjournalismus ist nach den vorliegenden Untersuchungen nicht zu erkennen.
