Production, Operations and Supply Chain Management
Refine
Year of publication
- 2022 (7) (remove)
Document type
- Bachelor Thesis (5)
- Master's Thesis (2)
Has full text
- No (7)
Is part of the Bibliography
- No (7)
Keywords
- Artificial Intelligence (1)
- Artificial intelligence (1)
- Automobilproduktion (1)
- Automotive industry (1)
- Blueprint (1)
- Car manufacturer (1)
- Digital sales (1)
- Digitalization (1)
- Fabrikplanung (1)
- Green Logistics (1)
Course of studies
Bedingt durch sich verändernde Anforderungen des Marktes, der Produkte sowie der Produktionsbedingungen entsteht für produzierende Unternehmen ein Handlungsbedarf zur Anpassung ihrer Fabrikstrukturen. Die Fabrikplanung hat in diesem Zusammenhang die Aufgabe, Fabriken gleichzeitig wirtschaftlich und attraktiv für Mitarbeiter zu gestalten, als auch strategische Handlungsspielräume durch Flexibilität und Wandlungsfähigkeit der Strukturen zu gewährleisten. Die genannten Veränderungen führen zu Herausforderungen und Potenzialen auf der Ebene der Werkstrukturplanung. Für zukünftige Werkstrukturen stellen sich neue Herausforderungen bei den Layouts und der Infrastruktur. Durch die bei Realisierung eintretende Fixierung der flächenmäßigen Aufteilung und Anordnung der Gebäude auf dem Fabrikgelände haben Entscheidungen mittel- und langfristige Auswirkungen.
In der Arbeit wird zunächst der Stand der Technik aktueller Werkstrukturen der Automobilindustrie erarbeitet. Nachhaltigkeits-, Digitalisierungs- und Elektrifizierungs-trends fordern die Hersteller zur Anpassung ihrer Werkstrukturen. Um die angesprochenen Herausforderungen zu bewältigen und Potenziale zu nutzen, wird in der Arbeit ein Konzept zur Weiterentwicklung einer standardisierten Werkstruktur entwickelt. Das Konzept dient als methodischer Leitfaden zur Überarbeitung einer standardisierten Werkstruktur. Es unterteilt sich in vier Teilbereiche. Die Prämissen der Werkstruktur bilden die Basis in dem sie die Anforderungen und das Zielbild der Fabrik definieren sowie Gestaltungsprinzipien und den Werkstyp bestimmen. Die Updates aus den Fertigungsbereichen sammeln alle prozessualen Veränderungen mit Layoutauswirkung und beschreiben die Ausprägungsformen der Gebäude. Im dritten Schritt werden Innovationen analysiert. Darunter fallen die vertikale Integration, Nachhaltigkeit sowie weitere Entwicklungstrends, welche Auswirkungen auf die Werkstruktur haben. Im vierten und letzten Schritt werden alle vorherigen Veränderungen aus den Teilbereichen aggregiert und zu einem Werkslayout zusammengeführt. Hierbei wird die Anordnung der Fertigungsbereiche nach Flussprinzip bestimmt, Erweiterungsflächen und Sekundärfunktionen werden verortet und das Verkehrskonzept wird definiert. Als Weiterentwicklung resultiert eine standardisierte Werkstruktur.
The sector of supply chain risk management has been expanding for several years now, with the goal to not only prepare organizations to recover after supply-chain disruptions but also mitigate risks to reduce losses.
One of the most remarkable techniques in the field is the Artificial Intelligence technology, which owing to its effectiveness and efficiency, allows humans to develop new solutions to predict or prevent a great variety of supply-chain disruptions.
This paper aims to forecast the future state of the Artificial Intelligence technology in Europe by 2035 with the use of the INKA 4 scenario manager software. A total of four areas of influence –– i.e., technological, financial, legal, and social –– were identified.
From those, 11 descriptors were created based on relevant scientific literature and were inserted in the INKA software to develop the scenarios. This process resulted in three clearly differentiated scenarios that exhibit high probabilities and positive outlook for the Artificial Intelligence technology to be widely integrated in supply chain risk management systems in Europe by 2035.
Abstract
The large-scale impact of the climate change on all regions and industries of the world underlines the need for action in the logistics sector. Despite literature in this field has matured fast since the last 5 years, it neglects the consideration of digital tools or measures to introduce sustainability in the sector. Consequently, precise recommendations on how to manage digital disruptions in order to reach sustainability goals in Logistics are lacking.
The objective of this thesis is to develop those recommendations and to facilitate their implementation for practitioners in the truck container transportation sector. To do so, the impact as well as the evolution of digitalization must be determined. Besides, factors for managing digital change successfully and measuring their impact in this sector shall be ascertained. Finally, a holistic framework to support the implementation process for becoming more sustainable by using digitalization should be presented.
A single-case study at the Logistics Start-Up “driveMybox” intends to fill the identified gap in knowledge. Particularly, it is studied how the organization manages to use digital tools to offer CO2-neutral truck container transports on their platform. Thereby, the different approaches are being looked at. Besides, data is gathered through qualitative interviews and other internal documents.
The first outcome of the thesis is an overview that illustrates the role of digitalization in Logistics. It increases the awareness of the digital impact and helps practitioners to take useful actions. Furthermore, a clear set of success factors to forward sustainability in the transportation sector was developed. Finally, a holistic result depicts which steps can lead to a more sustainable transportation process. Summarising, the thesis contributes to extant literature by combining digitalization with approaches to sustainability. The given recommendations consider the particularities of Start-Ups and support practitioners in this field with valuable guidelines and a holistic framework.
Since the occurrence of cybercrime rises every year, it has become increasingly important for companies to further secure their data and important information. It is not enough to just secure the data inside of the company, by now companies must go one step further.
This thesis focuses on a way to develop tools and methods to determine whether company data is secure in the hands of third-parties as well. To do so it is important to understand what different methods are available and reliable enough for the everyday usage.
The aim of this thesis is to present an evidence-based methodology to identify third-party risks. To achieve this goal, an analysis of international standards of technology knowledge is conducted. The market is searched for already existing service providers with the intend to find already existing information and templates on the topic. By conducting interviews information and expert knowledge is gathered.
The analysis and interviews contribute to the development of a generalized questionnaire which can be used to evaluate third-party risks. A generalized questionnaire that is fit for every third-party working with company data, that can be adjusted if necessary.
Moving places in cars impacts human activity daily. Therefore, living in a world without cars is inconceivable. While demand for cars exists, supply experiences shortcomings. Customers receive their vehicles with only one key or must deal with long delivery times. There is a correlation between the car industry, supply shortfalls and the current state of the world regarding COVID-19. The objectives of this research are examining how the semiconductor chip shortage affected sales and production of German car manufacturers and what strategic conclusions can be drawn for the future. To reach the objectives a quantitative theory analysis of existing literature was applied. The chosen car manufacturers are Audi AG, BMW AG, and Mercedes-Benz Group AG.
The results show that all objects to the research topic experienced a decline in production and sales. Further, that the semiconductor shortage, mainly anticipated by the pandemic, revealed the fragility of supply networks of the automotive industry. Different strategic attempts may cure supply chain management issues as such; however, it depends on the evaluation of the automotive industry whether this crisis carries a sustainable effect with its presence or not.
Artificial Intelligence is becoming an increasingly important part of everyday life and is considered a matter of course by many people. Since it can be assumed that artificial intelligence will play an increasingly central role in business in the future, this paper aims to investigate the intersection between AI and Digital Sales Technologies through a systematic literature review. This thesis identified 32 relevant articles through an extensive literature search in the databases Web of Science, ScienceDirect, and SpringerLink. Through the detailed analysis of these 32 articles, the following four topic clusters could be identified: “Application Layer, Social Layer, Challenges, and Futuristic Layer”. Based on these layers, the developed research questions were answered successfully, and the following conclusions were drawn: AI is already being used in Digital Sales Technologies in numerous ways, for instance through voice assistants like Alexa. In addition, various changes for consumers and salespeople were identified, that accompany the adoption of AI in Digital Sales Technologies. Furthermore, this thesis provides an answer to which challenges this integration brings and how AI will influence Digital Sales Technologies in the future. Finally, research gaps for future research are identified based on the collected findings from the literature review.