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This thesis aims to add knowledge that contributes to answering the question of how digital transformation technologies can contribute to increasing customer value in logistics and supply chain management (L&SCM), and how manufacturing companies can mindfully use them. The output of the thesis is an architectural framework that proposes performance components, approaches and methodologies that can help in capturing this customer value. To build the basis for such a framework, this research first deduces and presents the underlying definition of digital transformation and describes its potential for, as well as current barriers for its application in, L&SCM. The study uses a systematic litera...
Logistics is key to a country’s trading opportunities. Poor trade logistics performance, measured in the cost and complexity of importing and exporting, precludes many countries from diversifying their economies and can hamper trade, growth and employment. This is acutely relevant for developing countries, where a frail logistics environment, i.e., the combination of logistics infrastructure and services, is often a factor in weak trade. While trade consists of imports and exports, exports are crucial to a country’s development due to their potential to increase income and employment. Supply chain delays increase transportation costs and hence product costs, thus decreasing the competiti...
Future logistics managers will face a multitude of complex tasks and they will be required to develop efficient management concepts at short notice. University teaching – as well as further education – has the ability to prepare those logistics managers for future tasks by enabling them to transfer theoretical knowledge to practical problems. To contribute to more practice-oriented teaching approaches, the Competence Center for International Logistics Networks at the Chair of Logistics at Berlin University of Technology conducted 10 on-site case studies at leading manufacturing companies in the consumer goods, automotive, and machinery industries, as well as at logistics service provider...
In the context of the advancing digitalization of logistics processes, blockchain technologies are gaining in importance. Within the scope of sustainable logistics networks, they contribute to cross-stakeholder transparency and support the tracking and verification of products and processes to improve social and environmental parameters. The goal of this work is to develop a holistic management model to help users understand blockchain technologies in the context of their logistics network and to assess the mindful adoption of these technologies to specific problems. In addition, the model should enable the conclusion of expected impacts on participating actors within the logistics network w...
Als ein Teilbereich der Künstlichen Intelligenz stellt Machine Learning (ML) eine Schüsseltechnologie des 21. Jahrhunderts dar. Unter Nutzung der mathematisch-statistischen Verfahren sind technische Systeme realisierbar, die anhand von Daten eigenständig empirische Zusammenhänge erkennen und dadurch ihr Verhalten zur Lösung von betrieblichen Problemen im Sinne einer systemseitigen Lernfähigkeit anpassen können. Entsprechend der Komplexität von Planungs-, Steuerungs- und Kontrollaufgaben in industriellen Wertschöpfungsketten wird ML-Anwendungen eine hohe Bedeutung zur Unterstützung und autonomen Ausführung von logistischen Entscheidungsprozessen zugesprochen. Für diesen Bereich de...
Includes Part 1, Books, Group 1, Nos. 1-12 (1940-1943)