TY - THES A1 - Anbarasan, Sarandev T1 - Optimizing EU returnable packaging network using PSI Global N2 - The research provides a holistic approach of optimizing Schaeffler’s returnable packaging network. The optimization was done with the help of network optimization software, PSI Global. The optimization is focused on reducing the carbon emissions and minimizing the transport costs. The algorithms center of gravity analysis and tactical vehicle routing are used to optimize the results and in deriving the required results. The derived results are then analyzed against various KPIs to filter out the most efficient solution. The most efficient solution gives the number of warehouses required for the network and the geographical locations of the network. The outcome of the network analysis resulted in 19% reduction in costs additionally, a 22% reduction of the distance travelled across the network was also achieved through the network optimization. Furthermore, the possibility of assigning a single warehouse for Eastern Europe was also analyzed from the cost perspective. Y1 - 2023 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-39563 CY - Ingolstadt ER - TY - THES A1 - Mukherjee, Apratim T1 - Robotic process automation with Blue Prism to optimize inventory management N2 - Now a days robotic process automation is a lifeline for most business enterprises & it is a one step ahead towards futuristic approach of a high-tech modern world. These services cannot be provided efficiently with an ineffective inventory management system in place. Technological advancements & upgradations enable enterprises acquire information systems to improve operational efficiency. Manual data entry into warehouse management systems has its own drawbacks including error rates, high time consumption & more labour work investment in additional personnel to countercheck the accuracy of manually entered data. Following domains were used for the clear explanation of the whole idea of processes automation. ▪ Screen Scrapping Software ▪ Inventory Data Management & Optimisation ▪ Magic Quadrant & Cost Benefit Analysis ▪ Data Migration Robotic process automation, a disruptive, new technology leveraging on artificial intelligence was used in this study to automate the business processes performed in the inventory control and management module of a warehouse management system. Important & quality literature was reviewed to better understand how the technology has been implemented in other organisations. For this entire research study, two important RPA software’s i.e., blue prism & UI path studio has been used for running the debugs and performing a dummy run program. Processes and data’s that were selected for automation had been taken from use cases and expert interview with RPA companies. This study delivers several benefits to the organisation including Increased accuracy of the information captured in the system; Reduction in error rates during data capture; Significant reduction in time consumed during execution of tasks; Cost savings due to reduction in operational costs, process improvements, increased productivity, and Redeployment of employees to higher value functions. Results from solutions testing showed that majority of the respondents agreed that the software robots had attained the desired results. The aim of this research paper was to explore ways through which technology could be leveraged to transform manual business processes into automated and streamlined processes through robotic process automation technology. The conclusions drawn indicated that process automation increases operational efficiency and employee productivity through redeployment to more cognitive based task. Y1 - 2021 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-36617 CY - Ingolstadt ER - TY - THES A1 - Gitta, Praveen T1 - Enhancing the efficiency in purchasing process using RPA & standard software N2 - This thesis aims to explore the potential of Automations softwares in automating three processes in the Purchasing Department of a company. The processes chosen for automation are Purchase Order approval, Supplier request approval, and contract request approval which are critical processes in the procurement cycle of a company. The primary objective of this research is to evaluate the efficacy of RPA Automation anywhere and Jotform in automating these processes and compare it with a standard software program that is commonly used for Purchasing automation (König et al., 2020) The study was conducted using a comparative approach, where each process was automated using both RPA and the standard software, and the results were compared based on several criteria such as time taken, cost of implementation, accuracy, and ease of use. The study found that the automation softwares were more efficient in terms of time taken and cost of implementation. However, the standard software and RPA Automation anywhere approach was more accurate and easier to use (Madsen, 2020). The study provides insights into the benefits and limitations of using RPA and standard software for automation in the Purchasing Department. The study highlights the need for companies to carefully evaluate their automation needs and choose an approach that best suits their requirements. The research contributes to the growing body of literature on RPA and its potential to transform business processes. Keywords: Robotic Process Automation (RPA), Jotform, Purchasing Department, Requisition Creation, Purchase Order Creation, Goods Receiving, procurement cycle, comparative approach, standard software, time taken, cost of implementation, accuracy, ease of use, efficiency, benefits, limitations, automation needs, business processes automation. Y1 - 2023 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-36265 CY - Ingolstadt ER - TY - THES A1 - Boulescu, Andrei-Emil T1 - Automated trading: the development of a trading robot using UiPath N2 - The Development of a Trading Robot using UiPath Y1 - 2022 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-36121 CY - Ingolstadt ER - TY - THES A1 - Malhotra, Rahul T1 - Robotic process automation (RPA) BT - integration of robotic process automation portfolio in accessing business processes with automation maturity of small and medium sized companies to avoid failures N2 - As the main reason for any RPA project getting failed is wrong business process selection, so, having said this, this thesis focuses on providing with the relevant pure mathematical model which provides business analyst or RPA vendors an opportunity to analyze any business process which is considered as a candidate for automation, currently seeing their client’s organization RPA Maturity meaning how much advance their organization has become in the RPA technology since its inception into their culture. Y1 - 2022 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-35541 CY - Ingolstadt ER - TY - THES A1 - Mostaquim, Md Ekramul T1 - Study on open source tool for robotic process automation (RPA) with respect to commercial software for small and medium sized enterprises (SMEs) in logistics field N2 - The demand for robotic process automation (RPA) is growing every day across the globe due to its wide range of applications in the various areas such as finance, purchasing, logistics, production planning, warehousing, manufacturing, human resources, etc. Simultaneously, new and advanced features are constantly being introduced with RPA to facilitate the repetitive, rule-based, time-saving and productive tasks in these areas. For this reason, large companies are introducing RPA into their organization due to their allocated high investment in digitalization. However, this could be a challenge for small and medium-sized enterprises (SMEs). Because commercial RPA tools are associated with high costs. Investing in RPA is a big challenge for them. Considering this issue, the objective of this process was to conduct a comparative study between open-source RPA tool and the commercial RPA tool for small and medium sized enterprises (SMEs). Three different business case studies on processing both digitalized and non-digitalized documents in the field of logistics and supply chain management (SCM) were selected. In addition, RPA Python and Python traditional programming as open-source tools and UiPath as a commercial RPA tool were selected for this project to develop the solution of robotic process automation (RPA). Afterwards, a five-dimensions digital technology assessment for these tools as well as survey were conducted to determine applicability of the open-source tool for small and medium-sized enterprises (SMEs). Keyword: Robotic Process Automation (RPA), OCR (Optical Character Recognition), Small and Medium Sized Enterprise (SMEs), Digitalized and Non-digitalized, Logistics, Supply Chain Management (SCM), Open-Source RPA Tool, Commercial RPA Tool Y1 - 2022 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-35787 CY - Ingolstadt ER - TY - THES A1 - Prajapati, Rohan T1 - The impact of digital procurement on supply chain management BT - a case study of TATA Motors N2 - This master's thesis examines how digital procurement techniques have revolutionized TATA Motors' supply chain management. Using a case study methodology, the study investigates how digital technologies are implemented in procurement procedures and how this affects supply chain performance in general as well as efficiency and cost-effectiveness. The results enhance comprehension of how digitalization might transform conventional procurement techniques by providing an analysis of the obstacles and possibilities faced by TATA Motors in maneuvering through this dynamic terrain. Y1 - 2024 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-46934 CY - Ingolstadt ER - TY - THES A1 - Shahzad, Shahzaib T1 - Optimizing high voltage battery manufacturing supply chain BT - a comprehensive analysis of product carbon footprint and carbon tax of three different manufacturer’s batteries N2 - Optimizing High Voltage Battery Manufacturing Supply Chains: A Comprehensive Analysis Of Product Carbon Footprint And Carbon Tax Of Three Different Manufacturer’s Batteries. This thesis presents a comprehensive analysis of the carbon footprints associated with the manufacturing supply chains of three vehicle batteries. With data provided by A2mac1 Company and conducted for both industry and academic purposes at Technical Hochschule Ingolstadt, the study focuses on optimizing battery production processes and transportation to reduce environmental impact. In addition to analyzing carbon footprints within the battery manufacturing supply chains, the research extends its scope to evaluate the most favorable locations in terms of carbon tax implications across USA regions, Chinese states, and European cities. By integrating predictions of future emissions and carbon tax scenarios, this study provides holistic insights into the environmental sustainability of battery manufacturing practices. Through detailed assessments of production and transportation factors, including raw material sourcing, manufacturing processes, and distribution networks, this study identifies key drivers of carbon emissions and evaluates their impact on overall environmental sustainability. The findings underscore the importance of supply chain optimization and the adoption of greener practices to mitigate carbon emissions and promote sustainability within the automotive industry. Keywords: Battery manufacturing, Supply chain optimization, Carbon footprint analysis, Production factors, Transportation, Environmental sustainability, Automotive industry, Carbon tax implications Y1 - 2024 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48724 CY - Ingolstadt ER - TY - THES A1 - Amini, Jaber T1 - Fuel cell system layout development for heavy duty road application BT - a concept study for a balance-of-plant layout N2 - This master's thesis investigates a concept study for developing a 100 kW PEM fuel cell, focusing on the layout of the balance of plant. The procedure began with the realization of the system, involving an intense study of the components and market analysis to acquire corresponding data for modeling purposes using CATIA V5. It concludes with an analysis of the energy distribution of the system, along with the presentation of the finalized package. Y1 - 2024 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-47812 CY - Ingolstadt ER - 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 -