TY - THES A1 - Vakili, Shiva T1 - Development of an overall conversion concept from water to solvent-based paint system in the MAN Truck & Bus SE cab paint shop in Munich plant N2 - The conversion from water-based to solvent-based paint systems, particularly Ultra High Solid (UHS) formulations, is a unique and significant undertaking for enhanced efficiency, sustainability, and environmental responsibility within industrial paint shop operations. This study outlines a comprehensive conversion concept explicitly tailored for the MAN Truck & Bus SE cab paint shop, emphasizing its unique energy-saving strategies, sustainability measures, and environmental considerations. The development of the conversion concept actively integrates scientific principles, advanced technologies, and strategic methodologies to optimize energy utilization throughout the paint application and curing processes. Key elements of the concept actively include the implementation of energy-efficient equipment, such as infrared drying systems and regenerative thermal oxidizers, to minimize energy consumption and actively reduce greenhouse gas emissions associated with paint curing. Furthermore, sustainability objectives are addressed through adopting eco-friendly practices, such as using low-VOC (Volatile Organic Compound) solvent formulations and integrating closed-loop solvent recovery systems to minimize waste and promote resource efficiency. Life cycle assessment methodologies are employed to evaluate the environmental impacts of the conversion process, enabling informed decision-making regarding material selection, process optimization, and waste management strategies. The proposed conversion concept is underpinned by a holistic approach to energy management, sustainability, and environmental stewardship, aligning with MAN Truck & Bus SE's commitment to corporate social responsibility and ecological sustainability. By implementing energy-saving measures, adopting sustainable practices, and adhering to stringent environmental regulations, the conversion to a solvent-based (UHS) paint system not only enhances operational efficiency and product quality but also contributes to reducing the carbon footprint and environmental impact associated with automotive paint manufacturing. Developing an integrated conversion concept from water to solvent-based paint (UHS) system in the MAN Truck & Bus SE cab paint shop signifies a significant step towards achieving energy efficiency, sustainability, and environmental responsibility in industrial paint shop operations. This conversion concept fosters sustainable growth and drives positive ecological change within the automotive manufacturing sector by prioritizing energy-saving initiatives, embracing sustainable practices, and mitigating environmental risks. Y1 - 2024 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48963 CY - Ingolstadt ER - TY - THES A1 - Cherala, Shiva Prasad T1 - Spend analysis and forecasting in the automotive industry BT - Enhancing supplier negotiations through a comprehensive platform for material price projections N2 - This thesis delves into the digitalization efforts of Kautex Textron GmbH & Co. KG, a prominent automotive supplier, through the implementation of the "Spend Analysis and Forecasting Material Price Projections" project. The Spend Analysis Report represents a pivotal initiative focusing on harnessing digital technologies to optimize global supplier management processes and increase the organization's competitiveness. The MS Power BI platform will be used to construct this model, together with a variety of data sources and visualization tools like SAP Tables, SQL Databases and MS SharePoint list. Also, to assist in a better understanding of which elements or variables in the spend data and material prices will lead to the effective performance of the business. The effect of digitalization is evaluated by referring to the material or part cost, quantity, time, sustainability, and dimensions of performance in region, country, and plant wise. Meanwhile, commodity price influencing factors, digitalization methods and outcomes will encourage the firm and employees to improve their skills and performance. These findings complete a literature gap in the body of knowledge and give useful guidance for analytical supplier management. This study shows that, in terms of supply chain visibility, operational effectiveness and strategic decisions of procurement, supply chain digitalization can promote a greater level of ethical supply chain and supplier management. The research study highlights the contribution of this study to the organization's efforts to become more agile, efficient, and resilient in managing its global supplier network. Y1 - 2024 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-49437 CY - Ingolstadt ER - TY - THES A1 - Bhosale, Prakash Ganpatrao T1 - Power automate flows implementation for data extraction in document management system Y1 - 2024 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-50974 CY - Ingolstadt ER - TY - THES A1 - Sarode, Rohan Sunil T1 - A framework for identifying domain knowledge to be included in data driven fault diagnostics N2 - Fault diagnosis is essential in various industrial system for maintaining the dependability and effectiveness. With the advancement of smart manufacturing, the data-driven fault diagnosis become hot topic. However, identifying correct quality data is still challenging to obtain high accuracy result in data-driven fault diagnosis. For that, finding a correct domain knowledge is plays a vital role in data-driven fault diagnosis. Domain knowledge, referring the expertise and insights gained from years of experience and understanding of specific system, is good for enhancing and optimizing diagnostic model. The integration of domain knowledge in data-driven approach is very important for accurate and effective fault diagnostics. This master thesis will present a comprehensive framework of systematically designed and identify the domain knowledge into data-driven fault diagnostics. The framework will create a holistic and robust fault detection approach. Through this research, a methodology, including data collection, feature extraction and the framework aims to improve the robustness of fault diagnostic systems. This proposed approach contributes to fill the gap between domain knowledge and data-driven techniques which might be helping to develop more reliable and accurate diagnostics solution in various application domains. Y1 - 2024 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-51005 CY - Ingolstadt ER -