@thesis{SanchezSolis2021, author = {Sanchez Solis, Lesly}, title = {Evaluation of existing models for the assessment and selection of Digital Technologies in SMEs}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-32735}, pages = {X, 75}, year = {2021}, abstract = {This research indicates that there are two models with strong compatibility for SMEs. However, improvements are needed to ensure that they are efficient enough for SMEs. To do so, the needs and characteristics of SMEs must be considered for a future model. Small and Medium-sized Enterprises (SMEs) are an important key of the economic growth. In recent years, the concepts of Digitalization and Industry 4.0 have been addressed to these companies. These new approaches promise great potential and benefits to SMEs in terms of flexibility, productivity and resource efficiency. Thus, the introduction of Digital Technologies is a key factor for SMEs to remain competitive. SMEs experience challenges when trying to digitalize their business, these challenges involve the availability of evaluation models for Digital Technologies which are suitable for their needs. The goal of this research is to identify which models are currently available and to analyze if these existing models are suitable and efficient enough for SMEs. To reach our goal, 10 currently existing models were evaluated by means of a pairwise comparison. The evaluation criteria were defined through the analysis of the characteristics and needs of the SMEs. This research demonstrates that deciding on an appropriate technology is currently a struggling decision that many SMEs are currently facing, due to the lack of evaluation models for Digital Technologies customized and adapted for their needs. The study also indicates that complexity level and resources needed, as well as visual characteristics, are important factors of the models. All these findings led to the proper analysis and evaluation of these ten models to define how efficient they are for SMEs.}, language = {en} } @thesis{Bhat2021, author = {Bhat, Vikas Kodangala}, title = {Analytical and comparative study of decision making methods and tools for SME digitalization}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-11312}, pages = {viii, 68}, year = {2021}, abstract = {This research aimed at studying deeply, and thoroughly, the two challenges faced by SMEs, namely Digitalization and Strategic Decision making. This research tries to fill the gap linking strategic decision-making methods and Digitalization in SMEs, also explores how the emerging concept of heuristics help bridge this gap.}, language = {en} } @thesis{Das2021, author = {Das, Arpan}, title = {Analysis of errors during the construction of large press tools and development of a lessons learned process}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-11479}, pages = {IV, vi, 106}, year = {2021}, abstract = {"Every process can be improved further and there is no upper limit to an improvement" as rightly pointed out by Mr Alexander Smith shares a broad insight into not just a manufacturing company but life in general. The concept of continual improvement not only plays a vital role in our lives an individual but also the processes followed by an organisation to develop a product or provide a service in a very cost-competitive market. Among the various areas of organisational development, a key area is business process improvement as stated in research by Tony et al. [1]. The construction of large press tools is a resources intensive, time-consuming and expensive process which in the scope of an automotive manufacturer requires an immense collaboration of a large number of internal and external departments, external companies and other stakeholders. Since any deviation in the prescribed process costs time and money for modification to ensure quality, it is important to develop a process to analyse the typical errors which rise during the construction, classify them and find out the improvement potentials in the internal and external working. Keeping this goal in mind a structured approach is taken to study the process of construction of large press tools in BMW, develop tools to automate the analysis process and finally a lessons learned process is described to cascade the learnings from the results intra and inter department.}, language = {en} } @thesis{Hussain2021, author = {Hussain, Shahrukh}, title = {Lean and process optimization training program}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-33301}, pages = {x, 87}, year = {2021}, abstract = {ABSTRACT Topic of the work: „ Lean and Process Optimization Training Program" Author: Shahrukh Hussain Immatriculation Number: 00101351 Submission Date: 06.12.2021 First Examiner: Prof. Dr.-Ing. R. Meyer Economic globalization has increased the demand for businesses to become more competitive than ever before. Lean manufacturing is a management style that focuses on eliminating processes that add no value and are therefore regarded as waste. The focus on the shop floor and the involvement of the operators is one of the primary differences of lean from other management philosophies. As a result, training at all levels of the company is critical to the success of lean manufacturing. Universities should play a role in this process by strengthening student's lean management abilities and encouraging better and faster integration of students into future enterprises, that's why a Lean and Process Optimization training program is developed to train the students. This thesis paper contains instructions for 2 days Lean Training Program and examples of the test run of this training, which was performed and created in the production lab of Technische Hochschule Ingolstadt. The Lego "Car Assembly Plant" game was created to educate and use many lean tools such as Ishikawa, 5S, VSM, line balance, JIT, and the Pull Principle in order to continuously improve and optimize the assembly process. Milling Machine is used to teach SMED in this Training Program.}, language = {en} } @thesis{Okoye2022, author = {Okoye, Innocent Mmaduabuchi}, title = {Integrating UiPath automation hub and net present value method in assessing robotic process automation project for small and medium-sized enterprise}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-34966}, pages = {x, 67, xxiv}, year = {2022}, abstract = {This thesis focuses on providing relevant theoretical and practical understanding using UiPath automation for cost benefit analysis while testing and deploying Robotic Process Automation. An applied method was used in evaluating this potential investment with respect to its profitability in a Small and Medium-sized Enterprise (SME). In addition to this assessment, a capital budgeting method that contributes to an Enterprise decision making, proves to be relevant and this was discussed in detail following a practical demonstration in the context of digital transformation.}, language = {en} } @thesis{Marella2023, author = {Marella, Gunasekhar}, title = {Digitalization of quality key performance indicators}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-33605}, pages = {xvii, 60}, year = {2023}, abstract = {According to Deming's Total Quality Management, all processes must have Key Performance Indicators (KPI) to monitor the progress of the Business. KPIs can be monitored through data visualization, where they can be simple graphs like Line charts, bar charts, Pareto etc., or they can be complex charts like tree maps or Scatter plots. These visualizations can be created by companies using a variety of software applications to transform data and make smart business decisions. The researchers examined a range of software tools and presented their preliminary findings and recommendations. Presenting data in a graphical or pictorial style to make it easier to grasp is known as data visualization. Making decisions and explaining facts are made easier by it. Any subject of study that needs creative approaches to present extensive, complex information can profit from it. Modern visualization has been influenced by the development of computer graphics. A quick introduction to data visualization is provided in this paper. Today, there are a huge number of BI systems that offer their services to users. Others serve many purposes, while some are industry specific. Finding the platform that will meet one's needs is a difficult undertaking. One might say that all firms looking to develop data analytics capabilities will be satisfied with the leaders from Gartner's magic quadrant. Although BI tools may cost for their operations, it is important to keep in mind that there may be some opportunities that organizations desire however those BI technologies would not offer. I used three BI tools for my preliminary research: Microsoft Power BI, Tableau, and Data Studio, Microsoft Excel. In this thesis, I tried to make digitalization more effective. I have processed my dataset (raw data) through the Microsoft ecosystem. I have interlinked the Power BI, Power Automate, and Power Apps for efficient Digitalization. Keywords: Digitalization, Visualization, Quality Key Performance Indicators, Power BI, Business Intelligence Systems, Tableau, Data Studio, Saas, Power Apps, Power Automate.}, language = {en} } @thesis{Gitta2023, author = {Gitta, Praveen}, title = {Enhancing the efficiency in purchasing process using RPA \& standard software}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-36265}, pages = {ix, 65}, year = {2023}, abstract = {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 (K{\"o}nig 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.}, language = {en} } @thesis{Boulescu2022, author = {Boulescu, Andrei-Emil}, title = {Automated trading: the development of a trading robot using UiPath}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-36121}, pages = {80}, year = {2022}, abstract = {The Development of a Trading Robot using UiPath}, language = {en} } @thesis{Mukherjee2021, author = {Mukherjee, Apratim}, title = {Robotic process automation with Blue Prism to optimize inventory management}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-36617}, pages = {xix, 70}, year = {2021}, abstract = {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.}, language = {en} } @thesis{Kancharana2022, author = {Kancharana, Sunil}, title = {Image based damage detection of milling tools}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-33653}, pages = {ii, 72}, year = {2022}, abstract = {Tool sharpness is critical in the production process because the tool's health determines the quality and precision of the workpiece. If the tool is damaged but the damage magnitude is minor, it is preferable to regrind the tool rather than purchasing a new one. This step aids in lowering the company's overall tool accounting costs. However, the complex helical shaped geometry of the tool along with the highly reflective optical properties on the surface makes the tool regrinding a challenging task. The existing state-of-the-art machines that perform regrinding for the optical critical milling tools have a number of drawbacks. First and foremost would be the time. Even with the latest technology, it takes around 15-20 minutes to process the entire tool for damage detection and the other major setback is the cost of the equipment. The current thesis provides a novel approach to detect the damages of the tools using tool images that are taken under a controlled experimental setup which is relatively cheaper and faster than the current state of art machines. A homogeneous illumination has been provided on the optical critical milling tools to obtain high-quality images. These images are later processed through classical image processing algorithms to determine the damaged regions of the tool. Different methods such as image segmentation method where masking is performed on the tool image using an automatic thresholding parameter. Due to innovative light source simplified methods such as mean subtraction where the image mean is subtracted from the original image to obtain the anomalies, contour-box scan method in which the tool edge contour is obtained and then the regions beside the tool edge are examined, the slope method where the tool edge slope is studied to determine the broken edges are implemented for damage detection and the challenges encountered by each method due the optical critical properties of the tool and the drawbacks for each method are outlined.}, language = {en} } @thesis{Anbarasan2023, author = {Anbarasan, Sarandev}, title = {Optimizing EU returnable packaging network using PSI Global}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-39563}, pages = {72}, year = {2023}, abstract = {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.}, language = {en} } @thesis{EsparzaRivadeneyra2022, author = {Esparza Rivadeneyra, Jose Augusto}, title = {EV batteries}, subtitle = {comparison between popular chemistries which contain cobalt or alternative materials}, publisher = {Technische Hochschule Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-34719}, year = {2022}, abstract = {Electric vehicles powered by batteries are slowly but surely displacing internal combustion-fuelled automobiles. So far, research in the development of higher performance batteries is advancing pretty slowly. The most important factors include long range, extended battery life, fast charging, safety, and low cost. However present lithium-ion battery technologies have so far succeeded to deliver acceptable performance but at a high cost with average battery longevity. So far, EV manufacturers have had tough task of choosing the best LI-ion chemistry to balance off between performance, lifespan, and cost. This paper takes an overview of the main batteries that are being currently used in EV's in which cobalt is an important part of the electrode along other materials and comparing them to other batteries, but specifically lithium iron phosphate batteries by using SWOT analyses. An MCDM based technique was then utilised into 2 scenarios / perspectives to categorize even further, and finally indicating the different rankings of each battery. This strategy could be useful for anyone who is looking into acquiring an EV to make sure they obtain the right battery chemistry for their needs.}, language = {en} } @thesis{Malhotra2022, author = {Malhotra, Rahul}, title = {Robotic process automation (RPA)}, subtitle = {integration of robotic process automation portfolio in accessing business processes with automation maturity of small and medium sized companies to avoid failures}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-35541}, pages = {79, xxxix}, year = {2022}, abstract = {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.}, language = {en} } @thesis{Wagner2021, author = {Wagner, Johannes}, title = {Investigation and demonstration of AI use-cases for SMEs in the field of production}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-33216}, pages = {69}, year = {2021}, abstract = {Demonstration and Investigation of Uses Cases of AI for SMEs in the field of production.}, language = {en} } @thesis{BenAissia2022, author = {Ben Aissia, Douja}, title = {Potential of digitalization to improve the risk management in supply chain processes}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-34871}, pages = {66}, year = {2022}, abstract = {The target of the research is to investigate the use of technologies and IoT in Supply Chain Management for the decision-making process to minimize the risk management and process optimization. The analysis is conducted with the use of the SCOR methodology, the literature research and participation in Webinar of industry experts. The results gathered exemplify and support the research questions which supposed in the beginning. To conclude, the application of logistics technology has an adverse impact on the process in the supply chain that results in an asset for any industry or organization.}, language = {en} } @thesis{Mostaquim2022, author = {Mostaquim, Md Ekramul}, title = {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}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-35787}, pages = {ix, 108}, year = {2022}, abstract = {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}, language = {en} } @thesis{Prajapati2024, author = {Prajapati, Rohan}, title = {The impact of digital procurement on supply chain management}, subtitle = {a case study of TATA Motors}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-46934}, pages = {88}, year = {2024}, abstract = {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.}, language = {en} } @thesis{Amini2024, author = {Amini, Jaber}, title = {Fuel cell system layout development for heavy duty road application}, subtitle = {a concept study for a balance-of-plant layout}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-47812}, pages = {v, 70}, year = {2024}, abstract = {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.}, language = {en} }