@inproceedings{WuellerichDobhan, author = {W{\"u}llerich, Thomas and Dobhan, Alexander}, title = {The Usability of Mobile Enterprise Resource Planning Systems}, series = {Proceedings of the 23rd International Conference on Enterprise Information Systems}, booktitle = {Proceedings of the 23rd International Conference on Enterprise Information Systems}, publisher = {SCITEPRESS - Science and Technology Publications}, doi = {10.5220/0010445005170524}, pages = {517 -- 524}, language = {en} } @article{KondziellaSpechtLerchetal., author = {Kondziella, Hendrik and Specht, Karl and Lerch, Philipp and Scheller, Fabian and Bruckner, Thomas}, title = {The techno-economic potential of large-scale hydrogen storage in Germany for a climate-neutral energy system}, series = {Renewable and Sustainable Energy Reviews}, volume = {182}, journal = {Renewable and Sustainable Energy Reviews}, issn = {1364-0321}, doi = {10.1016/j.rser.2023.113430}, pages = {113430 -- 113430}, abstract = {The seasonal storage of natural gas is a recognized and reliable technology in the energy industry. Salt caverns are particularly suitable for storing alternative gaseous fuels such as hydrogen. Germany has a great technical potential for expanding its cavern storage capacity, which exceeds the expected demand for hydrogen many times. Regarding the projected long-term decline in natural gas use, the question arises as to whether existing caverns can meet future storage requirements. To this end, a techno-economic model is presented to meet electricity and hydrogen demand in a cost-optimal solution. This analysis focused on the utilization of hydrogen storage in terms of energy throughput and maximum storage capacity. To link the outcome of economic dispatch to the literature, the fundamental assumptions are based on comprehensive capacity expansion models. This study advances the state of the art by evaluating key input parameters of the future energy system. By conducting 192 model runs, the analysis revealed the range of uncertainty in terms of storage use. This indicates a strong dependence of the systemic and economic value of hydrogen storage on boundary conditions such as a consideration of dark doldrums, a flexible hydrogen demand profile, hydrogen import restrictions and a larger electrolyzer capacity. The uncertainty ranged from 0 to 67 TWhH2 for the storage capacity, with an average of 36.6 TWhH2 across all scenarios, and from 0 to 190 TWhH2 for the annual energy throughput. These results are significant for gas storage operators who derive transformation strategies and policymakers evaluating financial funding requirements.}, language = {en} } @article{SchellerWaldKondziellaetal., author = {Scheller, Fabian and Wald, Stefan and Kondziella, Hendrik and Gunkel, Philipp Andreas and Bruckner, Thomas and Keles, Dogan}, title = {Future role and economic benefits of hydrogen and synthetic energy carriers in Germany: a review of long-term energy scenarios}, series = {Sustainable Energy Technologies and Assessments}, volume = {56}, journal = {Sustainable Energy Technologies and Assessments}, issn = {22131388}, doi = {10.1016/j.seta.2023.103037}, pages = {103037 -- 103037}, abstract = {Determining the development of Germany's energy system is the subject of a series of studies. Since their results play a significant role in the political energy debate for understanding the role of hydrogen and synthetic energy carriers, a better discussion is needed. This article provides an assessment of published transition pathways for Germany to assess the role and advantages of hydrogen-based carriers. Twelve energy studies including 37 scenarios for the years 2030 and 2050 were evaluated. Despite the variations, the carrier will play an important role. While their deployment is expected to have only started by 2030 with a mean demand of 91 TWh/a (4\% of the final energy demand) in Germany, they will be an essential part by 2050 with a mean demand of 480 TWh/a (24\%). The outcome of the scenarios depends on the chosen methods and assumptions. A moderately positive correlation (0.53) between the decarbonisation targets and the share of hydrogen-based carriers in final energy demand underlines the relevance for reaching the climate targets. Additionally, value creation effects of about 16 billion EUR/a in 2050 can be expected for hydrogen-based carriers. Hydrogen is expected to be produced domestically while synthetic fuels are projected to be mostly imported.}, language = {en} } @inproceedings{SpechtKondziellaBruckneretal., author = {Specht, Karl and Kondziella, Hendrik and Bruckner, Thomas and Scheller, Fabian}, title = {Scenarios for the decarbonization of district heating: the case of Leipzig}, series = {2023 19th International Conference on the European Energy Market (EEM)}, booktitle = {2023 19th International Conference on the European Energy Market (EEM)}, isbn = {979-8-3503-1258-4}, doi = {10.1109/eem58374.2023.10161822}, pages = {1 -- 11}, abstract = {This study derives the levelized cost of heat (LCOH) for exemplary post-fossil district heating (DH) scenarios. The DH system of Leipzig in 2040 under the assumption of a completely climate-neutral heat supply is considered. Accordingly, four generation scenarios (GS) are proposed based on different energy carriers that are characterized as follows: (1) natural gas with carbon capture and storage, (2) hydrogen, (3) diversified mix of biomass, waste heat and solar, and (4) electricity. In addition, the scenarios' robustness toward commodity prices is investigated using a sensitivity analysis. A modeling environment was used to optimize the hourly economic dispatch. Based on this, levelized costs are determined. For the reference case, the LCOH of the GS 1 and 2 exceeds the LCOH of GS 3 and 4. Furthermore, the results indicate that relying on singular energy carriers as opposed to diversified generation portfolios leads to less robust LCOH regarding price sensitivities.}, language = {en} } @inproceedings{BremerHsuTsaietal., author = {Bremer, Peik and Hsu, Yuan-Chin and Tsai, Kune-muh and Huang, Echo}, title = {Measuring Supply Chain Adaptability: A Case Study in Solar PV Industry}, series = {Proceedings of the 20th International Symposium on Logistics "Reflections on Supply Chain Research and Practice" (ISL 2015), Bologna, Italy}, booktitle = {Proceedings of the 20th International Symposium on Logistics "Reflections on Supply Chain Research and Practice" (ISL 2015), Bologna, Italy}, pages = {502 -- 508}, abstract = {While the world is struggling with shortage of fossil fuels energy and seeking for alternatives to it over the past several years, experts and investors have already identified renewable energy as alternative energies for fossil fuels and nuclear power. Among different types of energies, solar energy is considered as one of the most environmental friendly source. Not to mention that investment in solar photovoltaic (PV) industry had become a boom especially after the 21st century. However, due to the volatile of demand and changing patterns in manufacturing and distribution between several countries, the industry started to collapse. For this reason, many of PV related companies eventually have gone bankruptcy. Several methods, such as efficiency, responsiveness and agility, which are used to measure competitive factors for a company, have already been widely applied. Nevertheless adaptability is still a new and largely unexplored area. As a result, our research aims to develop a mechanism to measure supply chain adaptability under radical environment by building up case studies and extracting potential elements for metrics of solar PV industry. Qualitative research is conducted as our methodology, which combined with company reports, industry statistics, literature review and six semi-structured interviews with solar energy related companies in Germany. In our case studies, six companies specialize in different aspects of solar PV supply chain and demonstrate different emphasis regarding the adaptability of supply chain. Based on our result, company could assess their individual contributions and evaluate what abilities they are insufficient for preventing the risks involved when encountering volatile changes in the market.}, language = {en} } @inproceedings{DobhanEberhardtHasenederetal., author = {Dobhan, Alexander and Eberhardt, Lars and Haseneder, Markus and Raab, Heiko and Rabenstein, Steffen and Treutlein, Axel and Wahyudi, Vincent and Storath, Martin and Storath, Martin}, title = {Digitalization in Small-Load-Carrier Management}, series = {Proceedings of the 27th International Conference on Enterprise Information Systems}, booktitle = {Proceedings of the 27th International Conference on Enterprise Information Systems}, publisher = {SCITEPRESS - Science and Technology Publications}, doi = {10.5220/0013363200003929}, pages = {848 -- 855}, language = {en} } @inproceedings{RosiliusWilhelmSeitzetal., author = {Rosilius, Maximilian and Wilhelm, Markus and Seitz, Philipp and Von Eitzen, Ingo and Wirsing, Benedikt and Rabenstein, Markus and Decker, Steffen and Br{\"a}utigam, Volker}, title = {Equalization of the Visibility Loss between AR and Real Stimuli Sizes}, series = {2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)}, booktitle = {2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)}, publisher = {IEEE}, doi = {https://doi.org/10.1109/ISMAR-Adjunct57072.2022.00178}, pages = {821 -- 826}, abstract = {The results of the empirical study based on an AR Landolt C vision were examined to compare real and virtual visibility as a function of stimulus size on an HMD (e.g. MS HoloLens 2). A counterbalanced within-subject-design study with n = 32 probands was conducted. The results show on one hand a visibility loss between real and immersive systems by the same size of representation. On the other hand, a transfer function can be derived to ensure comparable visibility between the systems. This transfer function can be used to compensate for the visibility loss as a design guideline for immersive applications. In approximation, the Weber-Fechner's relation can be applied on AR visibility versus size of stimuli.}, language = {en} } @article{KieflFischerSchmitt, author = {Kiefl, Sophia and Fischer, Sophie and Schmitt, Jan}, title = {Self-employed and stressed out? The impact of stress and stress management on entrepreneurs' mental health and performance}, series = {Frontiers in Psychology}, volume = {15}, journal = {Frontiers in Psychology}, publisher = {Frontiers}, doi = {10.3389/fpsyg.2024.1365489}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:863-opus-56040}, pages = {15}, language = {en} } @article{OchsWehnertHartmannetal., author = {Ochs, Dennis and Wehnert, Kira-Kristin and Hartmann, J{\"u}rgen and Schiffler, Andreas and Schmitt, Jan}, title = {Sustainable Aspects of a Metal Printing Process Chain with Laser Powder Bed Fusion (LPBF)}, series = {Procedia CIRP}, volume = {98}, journal = {Procedia CIRP}, publisher = {Elsevir}, pages = {613 -- 618}, abstract = {Production companies are getting more and more aware of the relevancy of energy costs and the environmental impact of their manufactured products. Hence, the knowledge about the energy intensity of new process technologies as metal printing becomes increasingly crucial. Therefore, data about the energy intensity of entire process chains allow a detailed assessment of the life cycle costs and environmental impact of metal printed parts. As metal printing with Laser Powder Bed Fusion (LPBF) is applied from rapid prototyping to serial manufacturing processes more and more, sustainability data are useful to support a valid scale-up scenario and energetic improvements of the 3D-printing machinery as well as peripheral aggregates used in the process chain. The contribution aims to increase the transparency of the LPBF process chain in terms of its energy consumption. Therefore a generalized model to assess sustainability aspects of metal printed parts is derived. For this purpose, the LPBF process chain with the essential pre-, main- and post-processes is evaluated regarding its energy intensity. Here, the sub-processes, for example wet and dry cleaning of the printer, sieving of the metal powder or sand-blasting of the part are analyzed as well as the main printing process. Based on the derived experimental data from an installed, industry-like process chain, a model is created, which tends to generalize the experimental findings to evaluate other metal printed parts and process chain variants in terms of their energy intensity.}, language = {en} } @inproceedings{BremerBeerTsai, author = {Bremer, Peik and Beer, Jakob E. and Tsai, Kune-muh}, title = {A Systems Theory Approach to the Performance Analysis of Robotic Compact Storage and Retrieval Systems: An Autostore Case Study}, series = {Proceedings of the 28th International Symposium on Logistics (ISL 2024) Building Sustainable Connectivity through Logistics and Supply Chains}, booktitle = {Proceedings of the 28th International Symposium on Logistics (ISL 2024) Building Sustainable Connectivity through Logistics and Supply Chains}, isbn = {978-0-85358-354-7}, pages = {177-184}, abstract = {Purpose of this paper: Robotic compact storage and retrieval systems (RCSRS) such as the AutoSto-reTM are very popular these days. A standardized yet flexible concept, plug-and-play control software and manageable investment and operating costs have made AutoStore systems a bestseller and inspired other companies to venture into developing their own RCSRS. RCSRS in general and AutoStore in particular are highly encapsulated systems in which design, dimensioning and performance analysis during operation are based to a large extent on simulation studies. However, simulation-based per-formance analysis does not cover the actual workload of the system or the specifics of the logistics environment and does not take into account the sys-tem environment, such as the WMS, the middleware that connects the Au-toStore controller to the WMS, or the UnifyAnalytics data analytics tool now provided by AutoStore. In addition, simulation studies do not provide ware-house managers with guidance on tactical decisions such as whether dividing bin locations into compartments or operational decisions (e.g. opening or clos-ing picking ports) to improve overall system performance. The purpose of this paper is to develop and test a systems theory approach to the performance of RCSRS, using an AutoStore as a case study. Design/methodology/approach: Following a systems theory approach, we define the AutoStore system as (a) the RCSRS with robots, storage bins, and picking ports (hardware), (b) the Au-toStore control software, middleware, WMS and UnifyAnalytics service (soft-ware), (c) the pickers and warehouse managers (people) and (d) the logistics and business environment. We then, in a case study, analyze an AutoStore installation in a German company in terms of its performance and correlate productivity losses with parameters of the system. We have purposefully se-lected the case company's AutoStore for its potential to generalize findings. Findings: RCSRS such as the AutoStore are heavily dependent on a steep Pareto distri-bution for good performance. Our case study shows how dividing storage bins into compartments can jeopardize the performance of an RCSRS. If a compa-ny wants to use compartments to create more storage locations in the Au-toStore, it must change its unit of analysis from SKUs to bins in the simulation studies used in the design and dimensioning phase and deploy a middleware that is able to maintain an established ABC distribution of bins in the putaway process. Our case study also shows that warehouse managers have limited options to improve the performance of the system at runtime: they can only switch picking ports on or off. We propose a dashboard fed with live data from the AutoStore to help warehouse managers make this decision. Value: This paper is a contribution to the still relatively small literature on RCSRS. It goes beyond previous studies that mainly focused on algorithmic improvement of system details. In particular, it emphasizes the impact of tactical decisions made during the design of the system on the operational performance of the system. Furthermore, it demonstrates the limited operational levers available to warehouse managers and makes a strong case for adopting a systems the-ory approach to RCSRS design. Research limitations/implications: So far, our approach has only been tested on one installation of an AutoStore system. It should be tested more thoroughly when applied to other installations and other RCSRSs. Since RCSRS performance is highly dependent on the lo-gistical and business environment, future research should aim to first classify these environments and then perform detailed analysis within each class. Practical implications: Companies operating an AutoStore can use our approach as a guide for ana-lyzing the performance of the system. Adopting a systems theory perspective in the sales phase of an RCSRS can improve design decisions and help com-mission "better" systems, i.e., systems that better fit the target company's business and logistics environment and meet the performance suggested in pre-sales simulation studies. We also offer a solution for warehouse managers to understand, from a system performance perspective, when it is advisable to turn picking ports on or off and when not.}, language = {en} } @inproceedings{BremerHarishSainietal., author = {Bremer, Peik and Harish, Shreelekha and Saini, Sweta and Weberbauer, Frauke}, title = {The Distribution Logistics of Covid-19 Vaccines in Germany: A Case Study}, series = {29th International Symposium on Logistics "Embedding Circularity in Supply Chains", Wiesbaden, 6.-9. Juli 2025}, booktitle = {29th International Symposium on Logistics "Embedding Circularity in Supply Chains", Wiesbaden, 6.-9. Juli 2025}, editor = {Potter, Andrew and Pawar, Kulwant S. and Kalverkamp, Matthias and Rogers, Helen}, isbn = {978-0-85358-354-7}, pages = {392-403}, abstract = {Purpose of this paper: The global rollout of COVID-19 vaccines has been one of the most significant public health measures in modern history. The logistics systems of the vaccination campaigns were key to both their effectiveness and efficiency. This paper examines the logistical framework conditions of the German COVID-19 vaccination campaign and analyses vaccine distribution in ultra-cold supply chains in order to contribute to a better understanding of the design of challenging logistics systems in the field of tension between public and private actors. Design/methodology/approach: We use a case study approach to look at the COVID-19 vaccination campaign in Germany where the federal structure gives the 16 federal states (the units of analysis in the case study) a decision-making authority in health-related issues that was also reflected in the various logistics systems that were implemented for the campaign. Primary data was obtained through in-depth interviews and enriched with secondary data from newspapers and other sources. The cases were analysed through the theory lens of the collaborative governance framework. Findings: Federalism leads to braking effects where a rapid, coordinated and technically excellent response would be required. Although the vaccination campaign was an overall success, some logistical processes lacked GDP (Good Distribution Practice) approval, so the start was a bit bumpy. The opportunity to develop standard procedures for similar situations in the future was not properly utilised, reducing preparedness to a level below what was possible. Value: This case study is one of the few empirical works that deal with the logistical systems and processes behind vaccination campaigns. In particular, it sheds light on the interplay between public and private actors in a federal government structure. Research limitations/implications: Primary data could only be obtained from four of the 16 federal states. This is mainly due to the fact that dealing with the COVID-19 pandemic in Germany is still an open issue and an unparalleled political minefield. Practical implications: The research shows that standardised, GDP-approved and configurable logistics processes together with a strategic inventory of equipment, infrastructure and consumables are key elements to be prepared for similar situations in the future.}, language = {en} } @inproceedings{ChenBremerSchmittetal., author = {Chen, Mei-Hui and Bremer, Peik and Schmitt, Jan and Tsai, Kune-muh}, title = {Reentrant Flow Shop Production Control with the Theory of Constraints for Wafer Fabrication Having Parallel Machines}, series = {Proceedings of the 28th International Symposium on Logistics (ISL 2024) Building Sustainable Connectivity through Logistics and Supply Chains}, booktitle = {Proceedings of the 28th International Symposium on Logistics (ISL 2024) Building Sustainable Connectivity through Logistics and Supply Chains}, isbn = {978-0-85358-354-7}, pages = {131-132}, abstract = {Purpose of this paper: In a production line with capacity constraint resources (CCR) or bottleneck stations, the production control and the throughput rate are determined by the CCR station. In this study, we consider a production system with parallel machines and there are many rounds of reentrants during the production processes, and can be regarded as a reentrant flow shop process (RFS). In most RFS systems, the release of jobs is a push type without considering the WIP in each layer of reentrance. To resolve the excessive WIP in an RFS system, we consider the theory of constraints (TOC) and implement the DBR (drum, bottleneck and rope) to model RFS scheduling and to define appropriate buffer sizes at the CCR stations of diverse reentrant layers. Design/methodology/approach STS: We obtain production data of a type of semiconductor chip where the photolithography process is the most frequent reentrant. We designed nine scenarios based on the current RFS of the case company by applying the TOC and considering the time differences in parallel machines. A simulation model for the photolithography process was established using AutoMod simulation. Thirty simulation runs were performed for the mean and standard deviation. The goal is to identify the best scenario among the nine proposed ones. Findings: The simulation results demonstrated that Scenario 9, which involves dynamic buffers and assigning higher priority to products with more processing reentrance layers, achieved the highest throughput of finished products. The throughput of finished products in Scenario 9 is 22\% higher than in the base scenario. It also shows improvements in maximum product stack-up and input-output ratio compared to the base scenario. Value: The paper studies dispatching rules for reentrant flow lines having parallel machines with data from the semiconductor industry, and this type of production system is common for producing a wide range of electronic devices. With limited buffer sizes on the shop floor, the number of WIPs is significant, especially for reentrant flow shops, to avoid being clogged with too many WIPs. Implementing DBR modeling from TOC, the nine scenarios demonstrate the effects of controlling buffer sizes on system performances. Research limitations/implications: The nine scenarios are designed based on the case company situations and may not be readily implemented in other industries. Moreover, the DBR modeling of the buffer sizes and CCR station schedule control should also be adjusted when employed in other applications.}, language = {en} } @inproceedings{GuoBremerLirnetal., author = {Guo, J.-J. and Bremer, Peik and Lirn, Taih-Cherng and Chen, S.}, title = {A study on the acceptance of autonomous container trucks in Taiwan}, series = {The 20th Asia Maritime \& Fisheries University Forum 2022, Mokpo, South Korea}, booktitle = {The 20th Asia Maritime \& Fisheries University Forum 2022, Mokpo, South Korea}, language = {en} } @inproceedings{RosiliusWirsingvonEitzenetal., author = {Rosilius, Maximilian and Wirsing, Benedikt and von Eitzen, Ingo and Wilhelm, Markus and Schmitt, Jan and Engelmann, Bastian and Br{\"a}utigam, Volker}, title = {Evaluation of Visual Requirements and Software-Design for Immersive Visibility in Industrial Applications}, series = {2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)}, booktitle = {2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)}, pages = {234 -- 239}, abstract = {Currently, many sources predict increasing use of AR technology in the industrial environment. The task of immersive productive assistance systems is to provide information contextually to the industrial user. Therefore, it is essential to explore the factors and effects that influence the visibility and the corresponding quality of this information. Caused by the technical limitations of additive display technology and application conditions, this new approach has evaluated the immersive visibility of Landolt Rings in various greyscales against ambient illuminance levels on different industrial-like surfaces, coupled with and without a white virtual background. For this purpose, an empirical study in a within-subjects-design with full factorial experimental design (n=23) was conducted on Microsoft HoloLens 2 hardware. The mean values of the main effects indicate that visibility is significantly affected by ambient illuminance (best results at lower level), greyscale (best results at middle level) and virtual background (best results with background). In contrast, the choice of surface is shown to have no statistically significant effect on visibility, however it affects the response time. Additionally, cross-interactions of variables were analyzed and lead to a design recommendation for immersive industrial applications.}, language = {en} } @article{FischerRosiliusSchmittetal., author = {Fischer, Sophie and Rosilius, Maximilian and Schmitt, Jan and Br{\"a}utigam, Volker}, title = {A brief review of our agile teaching formats in entrepreneurship education}, series = {Sustainability}, volume = {14}, journal = {Sustainability}, number = {1}, doi = {https://doi.org/10.3390/su14010251}, pages = {251 -- 251}, abstract = {Companies are confronted with increasingly demanding environments, including globalization, technologization, intergenerationality, and crises such as the coronavirus pandemic. To accept uncertainties as a challenge and to recognize opportunities for development, well-educated and resilient founders are needed who can foster innovation and sustainable development within society and the economy. The majority of today's entrepreneurs have an academic background. Hence, institutions for higher education need to provide comprehensive educational offerings and support initiatives to train and sensitize future entrepreneurs. Therefore, since 2013, agile teaching formats have been developed in our project at a Bavarian university of applied sciences. In two stages, we founded a limited company for hands-on experimentation with entrepreneurship and also conceptualized an elective course and an annual founders' night. Based on a theoretical model and continuous teaching evaluations, we adjusted the individual modules to suit the target group. The objective is to promote the acquisition of key competencies and exert a positive influence on the startup quotient in the region. There are six startups by students who can be traced back to our project. This indicates that a target-group-oriented educational program encourages motivation and awareness of entrepreneurial thinking and action among students.}, language = {en} } @inproceedings{MeyerPechtlBremeretal., author = {Meyer, Maximilian and Pechtl, Lin and Bremer, Peik and Schmitt, Jan}, title = {Towards position-based technologies for digitized process management on the shop floor}, series = {Proceedings of the 24th International Symposium on Logistics - Supply Chain Networks vs Platforms: Innovations, Challenges and Opportunities, W{\"u}rzburg}, booktitle = {Proceedings of the 24th International Symposium on Logistics - Supply Chain Networks vs Platforms: Innovations, Challenges and Opportunities, W{\"u}rzburg}, pages = {232 -- 241}, abstract = {Position-based technologies, e.g Ultrawideband (UWB), WiFi or Bluetooth, for indoor localisation purposes are already commercially available. With the highly increasing digitalization of industrial processes, the potential of these technologies comes into focus of process management research. This paper aims to structure position-based technologies according to their potential to support shop-floor process management. For this purpose, a framework with the following dimensions is developed: technical performance properties of the IPS, economical aspects, relevant use-case requirements, and appropriate data aggregation strategies. Following this, two representable use-cases show the implementation of an indoor-positioning-system and the data aggregation in order to derive relevant process data from position data.}, language = {en} } @incollection{MillerSchmittKauppetal., author = {Miller, Eddi and Schmitt, Anna-Maria and Kaupp, Tobias and Batres, Rafael and Schiffler, Andreas and Schmitt, Jan}, title = {A Peak Shaving Approach in Manufacturing Combining Machine Learning and Job Shop Scheduling}, series = {Lecture Notes in Mechanical Engineering}, booktitle = {Lecture Notes in Mechanical Engineering}, publisher = {Springer Nature Switzerland}, address = {Cham}, isbn = {9783031774287}, issn = {2195-4356}, doi = {10.1007/978-3-031-77429-4_59}, pages = {535 -- 543}, abstract = {Computerized Numerical Control (CNC) plays an important role in highly autonomous manufacturing systems with multiple machine tools. The necessary Numerical Control (NC) programs to manufacture the parts are mostly written in standardized G-code. An a priori evaluation of the energy demand of CNC-based machine processes opens up the possibility of scheduling multiple jobs according to balanced energy consumption over a production period. Due to this, we present a combined Machine Learning (ML) and Job-Shop-Scheduling (JSS) approach to evaluate G-code for a CNC-milling process with respect to the energy demand of each G-command. The ML model training data are derived by the Latin hypercube sampling (LHS) method facing the main G-code operations G00, G01, and G02. The resulting energy demand for each job enhances a JSS algorithm to smooth the energy demand for multiple jobs, as peak power consumption needs to be avoided due to its expense.}, language = {en} } @article{EngelmannSchmittMilleretal., author = {Engelmann, Bastian and Schmitt, Simon and Miller, Eddi and Br{\"a}utigam, Volker and Schmitt, Jan}, title = {Advances in machine learning detecting changeover processes in cyber physical production systems}, series = {Journal of Manufacturing and Materials Processing}, volume = {4}, journal = {Journal of Manufacturing and Materials Processing}, number = {4}, pages = {108 -- 108}, abstract = {The performance indicator, Overall Equipment Effectiveness (OEE), is one of the most important ones for production control, as it merges information of equipment usage, process yield, and product quality. The determination of the OEE is oftentimes not transparent in companies, due to the heterogeneous data sources and manual interference. Furthermore, there is a difference in present guidelines to calculate the OEE. Due to a big amount of sensor data in Cyber Physical Production Systems, Machine Learning methods can be used in order to detect several elements of the OEE by a trained model. Changeover time is one crucial aspect influencing the OEE, as it adds no value to the product. Furthermore, changeover processes are fulfilled manually and vary from worker to worker. They always have their own procedure to conduct a changeover of a machine for a new product or production lot. Hence, the changeover time as well as the process itself vary. Thus, a new Machine Learning based concept for identification and characterization of machine set-up actions is presented. Here, the issue to be dealt with is the necessity of human and machine interaction to fulfill the entire machine set-up process. Because of this, the paper shows the use case in a real production scenario of a small to medium size company (SME), the derived data set, promising Machine Learning algorithms, as well as the results of the implemented Machine Learning model to classify machine set-up actions.}, language = {en} } @article{NeuberSchmittEngelmannetal., author = {Neuber, Till and Schmitt, Anna-Maria and Engelmann, Bastian and Schmitt, Jan}, title = {Evaluation of the Influence of Machine Tools on the Accuracy of Indoor Positioning Systems}, series = {Sensors}, volume = {22}, journal = {Sensors}, number = {24}, pages = {10015 -- 10015}, language = {en} } @inproceedings{SchmittMillerSchiffleretal., author = {Schmitt, Anna-Maria and Miller, Eddi and Schiffler, Andreas and Schmitt, Jan}, title = {Energy Prediction for CNC Machines Using G-Code Evaluation, Machine Learning and a Real-World Training Part}, series = {2025 11th International Conference on Mechatronics and Robotics Engineering (ICMRE)}, booktitle = {2025 11th International Conference on Mechatronics and Robotics Engineering (ICMRE)}, doi = {10.1109/ICMRE64970.2025.10976308}, pages = {340-347}, language = {en} } @article{FischerSchmitt, author = {Fischer, Sophie and Schmitt, Jan}, title = {Regionalstudie Auswirkungen des globalen Klimawandels in Mainfranken}, doi = {10.57714/fpkt-vt47}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:863-opus-19959}, pages = {176}, abstract = {Mainfr{\"a}nkische Unternehmen und Handwerksbetriebe stehen aufgrund expandierender Wertsch{\"o}pfungsketten in einem starken Abh{\"a}ngigkeitsverh{\"a}ltnis zu ihren global verteilten Zulieferern. Dadurch ist die Wertsch{\"o}pfungskette anf{\"a}llig f{\"u}r externe St{\"o}rungen, die unter anderem durch den Klimawandel ausgel{\"o}st werden. Zugleich sind die Erw{\"a}rmungsraten in der bayerischen Region derzeit deutlich h{\"o}her als im bundesweiten Durchschnitt. Die Entwicklung von strategischen Maßnahmen zur Klimaanpassung ist demnach unerl{\"a}sslich, um die unternehmensspezifischen Risiken des Klimawandels zu antizipieren und zu minimieren. Die Klimaanpassung ist in vielen kommunalen, wirtschaftlichen und gesellschaftlichen Bereichen eine der gr{\"o}ßten Herausforderungen der Gegenwart. Die vorliegende Regionalstudie beabsichtigt daher eine Abgrenzung der Verh{\"a}ltnisse und Wechselwirkungen des globalen Klimawandels, der Auswirkungen in der bayerischen Region Mainfranken sowie der aufkommenden Ver{\"a}nderungsbedarfe f{\"u}r gesellschaftliche, politische und wirtschaftliche Akteure. Ein umfassender grundlagentheoretischer {\"U}berblick dient zun{\"a}chst der Einordnung wichtiger Ansatzpunkte aus politischer Perspektive und stellt Angebote f{\"u}r Wirtschaftsakteure dar. Ferner werden die wirtschaftlichen Auspr{\"a}gungen nach Handwerksbetrieben und Unternehmen differenziert, sowie deren Rolle f{\"u}r Wachstum und Innovation in der Region, als auch in Bezug auf den Klimawandel und die erforderliche Anpassung aufgezeigt. Die Ergebnisse einer quantitativen Erhebung veranschaulichen, dass neben der Wirtschaftlichkeit und physischen Ressourcen, menschliche Faktoren zur Erh{\"o}hung der organisationalen Klimaresilienz beitragen. Um als wirtschaftliche Organisationen einen ad{\"a}quaten Umgang mit dem Klimawandel zu finden, sind bspw. zun{\"a}chst F{\"u}hrungskr{\"a}fte aufgefordert einen systemischen Ansatz mit umfangreichen Maßnahmen zu Klimaschutz und Klimaanpassung zu entwickeln, auf ihre Wirksamkeit zu erproben und ganzheitlich zu integrieren. Mit der vorliegenden Regionalstudie wird deutlich, dass neben dem Klimaschutz, der Reduzierung klimasch{\"a}dlicher Treibhausgasemissionen, die Klimaanpassung ein unverzichtbarer Aspekt ist, um die wirtschaftliche Effizienz zu erhalten und sogar zu erh{\"o}hen, indem die ver{\"a}nderten Anforderungen als Entwicklungschancen wahrgenommen werden.}, language = {de} }