@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} } @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{EngelmannSchmittTheilackeretal., author = {Engelmann, Bastian and Schmitt, Anna-Maria and Theilacker, Lukas and Schmitt, Jan}, title = {Implications from Legacy Device Environments on the Conceptional Design of Machine Learning Models in Manufacturing}, series = {Journal of Manufacturing and Materials Processing}, volume = {2024}, journal = {Journal of Manufacturing and Materials Processing}, language = {en} } @article{SchmittMillerEngelmannetal., author = {Schmitt, Anna-Maria and Miller, Eddi and Engelmann, Bastian and Batres, Rafael and Schmitt, Jan}, title = {G-code evaluation in CNC milling to predict energy consumption through Machine Learning}, series = {Advances in Industrial and Manufacturing Engineering}, volume = {2024}, journal = {Advances in Industrial and Manufacturing Engineering}, number = {8}, abstract = {Computerized Numeric Control (CNC) plays an essential role in highly autonomous manufacturing systems for interlinked process chains for machine tools. NC-programs are mostly written in standardized G-code. Evaluating CNC-controlled manufacturing processes before their real application is advantageous due to resource efficiency. One dimension is the estimation of the energy demand of a part manufactured by an NC-program, e.g. to discover optimization potentials. In this context, this paper presents a Machine Learning (ML) approach to assess G-code for CNC-milling processes from the perspective of the energy demand of basic G-commands. We propose Latin Hypercube Sampling as an efficient method of Design of Experiments to train the ML model with minimum experimental effort to avoid costly setup and implementation time of the model training and deployment.}, language = {en} } @article{StuehmTornowSchmittetal., author = {St{\"u}hm, Kai and Tornow, Alexander and Schmitt, Jan and Grunau, Leonard and Dietrich, Franz and Dr{\"o}der, Klaus}, title = {A novel gripper for battery electrodes based on the Bernoulli-principle with integrated exhaust air compensation}, series = {Procedia CIRP}, volume = {23}, journal = {Procedia CIRP}, pages = {161 -- 164}, language = {en} } @incollection{SchmittInkermannStechertetal., author = {Schmitt, Jan and Inkermann, David and Stechert, Carsten and Raatz, Annika and Vietor, Thomas}, title = {Requirement oriented reconfiguration of parallel robotic systems}, series = {Robotic Systems-Applications, Control and Programming}, booktitle = {Robotic Systems-Applications, Control and Programming}, pages = {387 -- 410}, language = {en} } @article{JanSchmitt, author = {Jan Schmitt, Kai St{\"u}hm, Annika Raatz, Klaus Dr{\"o}der}, title = {Simulating production effects on lithium-ion batteries}, series = {AABC}, journal = {AABC}, language = {en} } @incollection{CerdasGerbersAndrewetal., author = {Cerdas, Felipe and Gerbers, Roman and Andrew, Stefan and Schmitt, Jan and Dietrich, Franz and Thiede, Sebastian and Dr{\"o}der, Klaus and Herrmann, Christoph}, title = {Disassembly planning and assessment of automation potentials for lithium-ion batteries}, series = {Recycling of Lithium-Ion Batteries: The LithoRec Way}, booktitle = {Recycling of Lithium-Ion Batteries: The LithoRec Way}, pages = {83 -- 97}, language = {en} } @article{HerrmannRaatzAndrewetal., author = {Herrmann, Christoph and Raatz, Annika and Andrew, Stefan and Schmitt, Jan}, title = {Scenario-based development of disassembly systems for automotive lithium ion battery systems}, series = {Advanced Materials Research}, volume = {907}, journal = {Advanced Materials Research}, pages = {391 -- 401}, language = {en} } @article{SchmittRaatzDietrichetal., author = {Schmitt, Jan and Raatz, Annika and Dietrich, Franz and Dr{\"o}der, Klaus and Hesselbach, J{\"u}rgen}, title = {Process and performance optimization by selective assembly of battery electrodes}, series = {CIRP Annals}, volume = {63}, journal = {CIRP Annals}, number = {1}, pages = {9 -- 12}, language = {en} } @article{SchillingSchmittDietrichetal., author = {Schilling, Antje and Schmitt, Jan and Dietrich, Franz and Dr{\"o}der, Klaus}, title = {Analyzing Bending Stresses on Lithium-Ion Battery Cathodes induced by the Assembly Process}, series = {Energy Technology}, volume = {4}, journal = {Energy Technology}, number = {12}, pages = {1502 -- 1508}, language = {en} } @article{SchmittRaatz, author = {Schmitt, Jan and Raatz, Annika}, title = {Failure Mode Based Design and Optimization of the Electrode Packaging Process for Large Scale Battery Cells}, series = {Advanced Materials Research}, volume = {907}, journal = {Advanced Materials Research}, pages = {309 -- 319}, language = {en} } @phdthesis{Schmitt, author = {Schmitt, Jan}, title = {Untersuchungen zum Herstellungsprozess des Elektrode-Separator-Verbunds f{\"u}r Lithium-Ionen Batteriezellen}, language = {en} } @article{SchmittSeitzScherdeletal., author = {Schmitt, Jan and Seitz, Philipp and Scherdel, Christian and Reichenauer, Gudrun}, title = {Machine Learning in the development of Si-based anodes using Small-Angle X-ray Scattering for structural property analysis}, series = {Computational Materials Science}, volume = {218}, journal = {Computational Materials Science}, issn = {1879-0801}, abstract = {Material development processes are highly iterative and driven by the experience and intuition of the researcher. This can lead to time consuming procedures. Data-driven approaches such as Machine Learning can support decision processes with trained and validated models to predict certain output parameter. In a multifaceted process chain of material synthesis of electrochemical materials and their characterization, Machine Learning has a huge potential to shorten development processes. Based on this, the contribution presents a novel approach to utilize data derived from Small-Angle X-ray Scattering (SAXS) of SiO_2 matrix materials for battery anodes with Neural Networks. Here, we use SAXS as an intermediate, high-throughput method to characterize sol-gel based porous materials. A multi-step-method is presented where a Feed Forward Net is connected to a pretrained autoencoder to reliably map parameters of the material synthesis to the SAXS curve of the resulting material. In addition, a direct comparison shows that the prediction error of Neural Networks can be greatly reduced by training each output variable with a separate independent Neural Network.}, language = {en} } @inproceedings{SchmittBruhnRaatz, author = {Schmitt, Jan and Bruhn, Matthias and Raatz, Annika}, title = {Comparative analysis of pneumatic grippers for handling operations of crystalline solar cells}, series = {Proceedings of the IASTED Asian Conference on Power and Energy Systems, AsiaPES}, booktitle = {Proceedings of the IASTED Asian Conference on Power and Energy Systems, AsiaPES}, pages = {386 -- 392}, language = {en} } @inproceedings{HerrmannRaatzMennengaetal., author = {Herrmann, Christoph and Raatz, Annika and Mennenga, Mark and Schmitt, Jan and Andrew, Stefan}, title = {Assessment of automation potentials for the disassembly of automotive lithium ion battery systems}, series = {Leveraging Technology for a Sustainable World: Proceedings of the 19th CIRP Conference on Life Cycle Engineering, University of California at Berkeley, Berkeley, USA, May 23-25, 2012}, booktitle = {Leveraging Technology for a Sustainable World: Proceedings of the 19th CIRP Conference on Life Cycle Engineering, University of California at Berkeley, Berkeley, USA, May 23-25, 2012}, pages = {149 -- 154}, language = {en} } @inproceedings{SchmittTreuerDietrichetal., author = {Schmitt, Jan and Treuer, F and Dietrich, F and Dr{\"o}der, K and Heins, T-P and Schr{\"o}der, U and Westerhoff, U and Kurrat, M and Raatz, A}, title = {Coupled mechanical and electrochemical characterization method for battery materials}, series = {2014 IEEE Conference on Energy Conversion (CENCON)}, booktitle = {2014 IEEE Conference on Energy Conversion (CENCON)}, pages = {395 -- 400}, language = {en} } @inproceedings{SchreiberSklyarenkoSchlueteretal., author = {Schreiber, Frank and Sklyarenko, Yevgen and Schl{\"u}ter, Kathrin and Schmitt, Jan and Rost, Sven and Raatz, Annika and Schumacher, Walter}, title = {Tracking control with hysteresis compensation for manipulator segments driven by pneumatic artificial muscles}, series = {2011 IEEE international conference on robotics and biomimetics}, booktitle = {2011 IEEE international conference on robotics and biomimetics}, pages = {2750 -- 2755}, language = {en} } @inproceedings{SchmittHauptKurratetal., author = {Schmitt, Jan and Haupt, Hannes and Kurrat, Michael and Raatz, Annika}, title = {Disassembly automation for lithium-ion battery systems using a flexible gripper}, series = {2011 15th International Conference on Advanced Robotics (ICAR)}, booktitle = {2011 15th International Conference on Advanced Robotics (ICAR)}, pages = {291 -- 297}, language = {en} } @inproceedings{SchmittLastLochteetal., author = {Schmitt, Jan and Last, Philipp and Lochte, Christian and Raatz, Annika and Hesselbach, J{\"u}rgen}, title = {TRoBS - a biological inspired robot}, series = {2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)}, booktitle = {2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)}, pages = {51 -- 56}, language = {en} } @inproceedings{SchmittGrabertRaatz, author = {Schmitt, Jan and Grabert, Frank and Raatz, Annika}, title = {Design of a hyper-flexible assembly robot using artificial muscles}, series = {2010 IEEE International Conference on Robotics and Biomimetics}, booktitle = {2010 IEEE International Conference on Robotics and Biomimetics}, pages = {897 -- 902}, language = {en} } @article{SchmittPosseltDietrichetal., author = {Schmitt, Jan and Posselt, G and Dietrich, F and Thiede, S and Raatz, A and Herrmann, C and Dr{\"o}der, K}, title = {Technical performance and energy intensity of the electrode-separator composite manufacturing process}, series = {Procedia CIRP}, volume = {29}, journal = {Procedia CIRP}, doi = {10.1016/j.procir.2015.02.016}, pages = {269 -- 274}, language = {en} } @article{SchmittInkermannRaatzetal., author = {Schmitt, Jan and Inkermann, D and Raatz, A and Hesselbach, J and Vietor, T}, title = {Dynamic reconfiguration of parallel mechanisms}, series = {New trends in mechanism science: analysis and design}, journal = {New trends in mechanism science: analysis and design}, pages = {557 -- 565}, language = {en} } @article{SchmittEngelmannManghisietal., author = {Schmitt, Jan and Engelmann, Bastian and Manghisi, Vito Modesto and Wilhelm, Markus and Uva, Antonello and Fiorentino, Michele}, title = {Towards gestured-based technologies for human-centred smart factories}, series = {International Journal of Computer Integrated Manufacturing}, volume = {36}, journal = {International Journal of Computer Integrated Manufacturing}, number = {1}, issn = {1362-3052}, pages = {110 -- 127}, abstract = {Despite the increasing degree of automation in industry, manual or semi-automated are commonly and inevitable for complex assembly tasks. The transformation to smart processes in manufacturing leads to a higher deployment of data-driven approaches to support the worker. Upcoming technologies in this context are oftentimes based on the gesture-recognition, - monitoring or - control. This contribution systematically reviews gesture or motion capturing technologies and the utilization of gesture data in the ergonomic assessment, gesture-based robot control strategies as well as the identification of COVID-19 symptoms. Subsequently, two applications are presented in detail. First, a holistic human-centric optimization method for line-balancing using a novel indicator - ErgoTakt - derived by motion capturing. ErgoTakt improves the legacy takt-time and helps to find an optimum between the ergonomic evaluation of an assembly station and the takt-time balancing. An optimization algorithm is developed to find the best-fitting solution by minimizing a function of the ergonomic RULA-score and the cycle time of each assembly workstation with respect to the workers' ability. The second application is gesture-based robot-control. A cloud-based approach utilizing a generally accessible hand-tracking model embedded in a low-code IoT programming environment is shown.}, language = {en} } @inproceedings{ErbeBrandmeierSchmittetal., author = {Erbe, Karin and Brandmeier, Melanie and Schmitt, Michael and Donbauer, Andreas and Liebscher, Jan-Andreas and Kolbe, Thomas}, title = {Detektion von Fahrradst{\"a}ndern in Luftbildern mittels Deep Learning}, series = {42. Wissenschaftlich-Technische Jahrestagung der DGPF. 5.-6. Oktober 2022 in Dresden}, volume = {30}, booktitle = {42. Wissenschaftlich-Technische Jahrestagung der DGPF. 5.-6. Oktober 2022 in Dresden}, editor = {Kersten, Thomas P. and Tilly, Nora}, issn = {0942-2870}, doi = {10.24407/KXP:1795622415}, pages = {27 -- 39}, language = {de} } @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} } @inproceedings{SchirmerKranzSchmittetal., author = {Schirmer, Fabian and Kranz, Philipp and Schmitt, Jan and Kaupp, Tobias}, title = {Anomaly Detection for Dynamic Human-Robot Assembly: Application of an LSTM-based autoencoder to interpret uncertain human behavior in HRC}, series = {Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction}, booktitle = {Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction}, doi = {10.1145/3568294.3580100}, pages = {881 -- 883}, language = {en} } @article{KauppSchmittHillenbrandetal., author = {Kaupp, Tobias and Schmitt, Jan and Hillenbrand, Andreas and Kranz, Philipp}, title = {Das hybride Team: ein Leitfaden zur systematischen Planung von assistierten, kollaborativen Mensch-Roboter-Arbeitspl{\"a}tzen in der Montage}, series = {FHWS Science Journal}, volume = {5}, journal = {FHWS Science Journal}, number = {2}, issn = {2196-6095}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:863-opus-19972}, pages = {12 -- 72}, abstract = {Im Zuge der fortschreitenden Globalisierung und zunehmenden Digitalisierung der Arbeitswelt, ergeben sich gerade f{\"u}r kleine und mittelst{\"a}ndische Unternehmen Herausforderungen im Bereich der Produktion und insbesondere in der Montage. Steigende Komplexit{\"a}t der Produkte, k{\"u}rzer werdende Produktlebenszyklen bei kleinen Losgr{\"o}ßen mit hoher Variantenvielfalt und großem Wettbewerbsdruck zwingen Unternehmen bereits vorhandene Montagestrategien zu {\"u}berarbeiten. Gerade bei komplexeren Baugruppen ist eine Hochautomatisierung der Montage in der Serienfertigung aufgrund der Produktstruktur nur schwer realisierbar und oftmals nicht wirtschaftlich. In der industriellen Produktion ist ein klarer Trend von der Massenproduktion hin zur »Massenspezialanfertigung« zu erkennen. Die Leistungsf{\"a}higkeit eines Industriebetriebes h{\"a}ngt entscheidend von den angewandten Produktionsverfahren, den eingesetzten Produktionsmitteln und der eingef{\"u}hrten Produktionsorganisation ab. Aber auch das Zusammenspiel von Mensch, Organisation und Technik tr{\"a}gt dazu bei Potenziale f{\"u}r den Erfolg eines Unternehmens auszusch{\"o}pfen. Aufgrund sich st{\"a}ndig {\"a}ndernder Marktbedingungen und der kosteng{\"u}nstigen Herstellung von Produkten in Niedriglohnl{\"a}ndern bei gleichzeitig steigendem Qualit{\"a}tsniveau m{\"u}ssen Produktionsstrukturen st{\"a}ndig neu {\"u}berdacht und weiterentwickelt werden. Die Montage ist im Vergleich zur klassischen Fertigung (wie z.B. Drehen, Fr{\"a}sen oder Schleifen) ein eher niedrig automatisierter Bereich der industriellen Produktion, indem allerdings eine hohe Wertsch{\"o}pfung am Produkt stattfindet. Die manuelle Montage ist daher auch zuk{\"u}nftig ein wichtiger Bestandteil der industriellen Produktion. Um am Markt bestehen zu k{\"o}nnen, m{\"u}ssen Unternehmen nach M{\"o}glichkeiten suchen, um manuelle Arbeit produktiver und damit kosteneffizienter zu gestalten ohne dabei Abstriche bei der Qualit{\"a}t hinzunehmen. Zur Unterst{\"u}tzung manueller T{\"a}tigkeiten sind in den vergangenen Jahren verschiedene Innovationen in den Fokus der Unternehmen ger{\"u}ckt. Das Ziel muss es sein, den (Montage-)Standort Deutschland durch innovative Konzepte wie kollaborative Mensch-Roboter-Arbeitspl{\"a}tze zu sichern.}, language = {de} } @misc{FischerSchmitt, author = {Fischer, Sophie and Schmitt, Jan}, title = {Planspiel MainKassandra}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:863-opus-22271}, abstract = {Planspiel zur Klimaanpassung f{\"u}r Unternehmen, die mehr {\"u}ber die Wechselwirkungen des Klimawandels erfahren und zur strategischen und nachhaltigen Weiterentwicklung beitragen m{\"o}chten. Mit einem spielerischen Ansatz werden direkte und indirekte Auswirkungen des Klimawandels simuliert und einzelne Teams aufgefordert, mit einem interaktiven Maßnahmenkatalog zielgerichtete Anpassungsstrategien zu entwickeln. Dabei gilt es Klimaereignisse und vorhandene Ressourcen zu beachten, denn der Spielsieg wird nur durch eine Balance zwischen {\"o}konomischen und {\"o}kologischen Interessen erreicht. Die erworbenen Erfahrungen k{\"o}nnen dann direkt in die berufliche Praxis gef{\"u}hrt und innerhalb von Arbeitsteams diskutiert werden. Beginnen Sie heute mit dem Umdenken und werden Sie kreativ, um Ihr Unternehmen vor den Folgen des Klimawandels zu sch{\"u}tzen.}, language = {de} } @misc{Jan, author = {Jan, Schmitt}, title = {MainWarmUp}, doi = {10.57714/hc8b-y119}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:863-opus-20756}, abstract = {Das Spiel MainWarmUp bietet einen schnellen und guten Einstieg in die Thematik „Klimawissen f{\"u}r produzierende Unternehmen". Mit zehn verschiedenen Aufgaben werden den Spielenden zahlreiche Maßnahmen rund um den Klimawandel vorgestellt, die Unternehmen zum Klimaschutz oder zur -anpassung anwenden k{\"o}nnten. Finden Sie sinnvolle Kombinationen, ordnen Sie die Karten verschiedenen Kategorien zu oder bereiten einen Klimapitch vor.}, language = {de} } @article{SeitzSchmitt, author = {Seitz, Philipp and Schmitt, Jan}, title = {Alternating Transfer Functions to Prevent Overfitting in Non-Linear Regression with Neural Networks}, series = {Journal of Experimental \& Theoretical Artificial Intelligence}, journal = {Journal of Experimental \& Theoretical Artificial Intelligence}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:863-opus-49199}, abstract = {In nonlinear regression with machine learning methods, neural networks (NNs) are ideally suited due to their universal approximation property, which states that arbitrary nonlinear functions can thereby be approximated arbitrarily well. Unfortunately, this property also poses the problem that data points with measurement errors can be approximated too well and unknown parameter subspaces in the estimation can deviate far from the actual value (so-called overfitting). Various developed methods aim to reduce overfitting through modifications in several areas of the training. In this work, we pursue the question of how an NN behaves in training with respect to overfitting when linear and nonlinear transfer functions (TF) are alternated in different hidden layers (HL). The presented approach is applied to a generated dataset and contrasted to established methods from the literature, both individually and in combination. Comparable results are obtained, whereby the common use of purely nonlinear transfer functions proves to be not recommended generally.}, language = {en} } @article{WilhelmManghisiUvaetal., author = {Wilhelm, Markus and Manghisi, Vito Modesto and Uva, Antonello and Fiorentino, Michele and Br{\"a}utigam, Volker and Engelmann, Bastian and Schmitt, Jan}, title = {ErgoTakt: A novel approach of human-centered balancing of manual assembly lines}, series = {Procedia CIRP}, volume = {97}, journal = {Procedia CIRP}, doi = {https://doi.org/10.1016/j.procir.2020.05.250}, pages = {354 -- 360}, abstract = {Although the increasing use of automation in industry, manual assembly stations are still common and, in some situations, even inevitable. Current practice in manual assembly lines is to balance them using the takt-time of each workstation and harmonize it. However, this approach mostly does not include ergonomic aspects and thus it may lead to workforce musculoskeletal disorders, extended leaves, and demotivation. This paper presents a holistic human-centric optimization method for line balancing using a novel indicator ̶ the ErgoTakt. ErgoTakt improves the legacy takt-time and helps to find an optimum between the ergonomic evaluation of an assembly station and its balance in time. The authors used a custom version of the ErgoSentinel Software and a Microsoft Kinect depth camera to perform online and real-time ergonomic assessment. An optimization algorithm is developed to find the best-fitting solution by minimizing a function of the ergonomic RULA-value and the cycle time of each assembly workstation with respect to the worker's ability. The paper presents the concept, the system-setup and preliminary evaluation of an assembly scenario. The results demonstrate that the new approach is feasible and able to optimize an entire manual assembly process chain in terms of both, economic aspects of a well-balanced production line as well as the ergonomic issue of long term human healthy work.}, language = {en} } @inproceedings{SchmittHillenbrandKranzetal., author = {Schmitt, Jan and Hillenbrand, Andreas and Kranz, Philipp and Kaupp, Tobias}, title = {Assisted human-robot-interaction for industrial assembly: Application of spatial augmented reality (sar) for collaborative assembly tasks}, series = {Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction}, booktitle = {Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction}, pages = {52 -- 56}, language = {en} } @article{MillerBorysenkoHeusingeretal., author = {Miller, Eddi and Borysenko, Vladyslav and Heusinger, Moritz and Niedner, Niklas and Engelmann, Bastian and Schmitt, Jan}, title = {Enhanced Changeover Detection in Industry 4.0 Environments with Machine Learning}, series = {Sensors}, volume = {21}, journal = {Sensors}, number = {17}, pages = {5896 -- 5896}, language = {en} } @article{SchusterEngelmannSponholzetal., author = {Schuster, Florian and Engelmann, Bastian and Sponholz, Uwe and Schmitt, Jan and Engineering, Institute Digital}, title = {Human acceptance evaluation of AR-assisted assembly scenarios}, series = {Journal of Manufacturing Systems}, volume = {61}, journal = {Journal of Manufacturing Systems}, pages = {660 -- 672}, language = {en} } @inproceedings{SchusterSponholzEngelmannetal., author = {Schuster, Florian and Sponholz, Uwe and Engelmann, Bastian and Schmitt, Jan}, title = {A user study on AR-assisted industrial assembly}, series = {2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)}, booktitle = {2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)}, pages = {135 -- 140}, 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} } @article{MillerCeballosEngelmannetal., author = {Miller, Eddi and Ceballos, Hector and Engelmann, Bastian and Schiffler, Andreas and Batres, Rafael and Schmitt, Jan}, title = {Industry 4.0 and International Collaborative Online Learning in a Higher Education Course on Machine Learning}, series = {2021 Machine Learning-Driven Digital Technologies for Educational Innovation Workshop}, journal = {2021 Machine Learning-Driven Digital Technologies for Educational Innovation Workshop}, pages = {1 -- 8}, language = {en} } @incollection{EngelmannSchmitt, author = {Engelmann, Bastian and Schmitt, Jan}, title = {Industrie 4.0 f{\"u}r Studierende des Wirtschaftsingenieurwesens}, series = {Kompetenzen f{\"u}r die digitale Transformation 2020: Digitalisierung der Arbeit-Kompetenzen-Nachhaltigkeit 1. Digitalkompetenz-Tagung}, booktitle = {Kompetenzen f{\"u}r die digitale Transformation 2020: Digitalisierung der Arbeit-Kompetenzen-Nachhaltigkeit 1. Digitalkompetenz-Tagung}, pages = {265 -- 273}, language = {de} } @article{FischerKeuppPaethetal., author = {Fischer, Sophie and Keupp, Luzia and Paeth, Heiko and G{\"o}hlich, Michael and Schmitt, Jan}, title = {Climate adaptation as organizational learning: a grounded theory study on manufacturing companies in a Bavarian Region}, series = {Education Sciences}, volume = {12}, journal = {Education Sciences}, number = {1}, pages = {22 -- 22}, language = {en} } @article{ScherdelMillerReichenaueretal., author = {Scherdel, Christian and Miller, Eddi and Reichenauer, Gudrun and Schmitt, Jan}, title = {Advances in the Development of Sol-Gel Materials Combining Small-Angle X-ray Scattering (SAXS) and Machine Learning (ML)}, series = {Processes}, volume = {9}, journal = {Processes}, number = {4}, pages = {672 -- 672}, language = {en} } @inproceedings{SchmittKranzHillenbrandetal., author = {Schmitt, Jan and Kranz, Philipp and Hillenbrand, Andreas and Kaupp, Tobias}, title = {Assisted human-robot-interaction for industrial assembly: Video to assisted human-robot-interaction for industrial assembly}, series = {Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction}, booktitle = {Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction}, pages = {665 -- 667}, language = {en} } @article{FischerGoehlichSchmitt, author = {Fischer, Sophie and G{\"o}hlich, Michael and Schmitt, Jan}, title = {Interrelationships of climate adaptation and organizational learning: Development of a measurement model}, series = {Journal of Pedagogical Research}, volume = {6}, journal = {Journal of Pedagogical Research}, number = {5}, pages = {130 -- 152}, language = {en} } @incollection{Schmitt, author = {Schmitt, Jan}, title = {Ein integriertes Vorgehensmodell zur Implementierung eines nachhaltigen Wertstoffmanagements}, series = {CSR in S{\"u}ddeutschland: Unternehmerischer Erfolg und Nachhaltigkeit im Einklang}, booktitle = {CSR in S{\"u}ddeutschland: Unternehmerischer Erfolg und Nachhaltigkeit im Einklang}, pages = {93 -- 105}, language = {de} } @inproceedings{MillerKauppSchmitt, author = {Miller, Eddi and Kaupp, Tobias and Schmitt, Jan}, title = {Cascaded Scheduling for Highly Autonomous Production Cells with AGVs}, series = {Manufacturing Driving Circular Economy: Proceedings of the 18th Global Conference on Sustainable Manufacturing, October 5-7, 2022, Berlin ; Lecture Notes in Mechanical Engineering}, booktitle = {Manufacturing Driving Circular Economy: Proceedings of the 18th Global Conference on Sustainable Manufacturing, October 5-7, 2022, Berlin ; Lecture Notes in Mechanical Engineering}, editor = {Kohl, Holger and Seliger, G{\"u}nther and Dietrich, Franz}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-28838-8}, doi = {https://doi.org/10.1007/978-3-031-28839-5_43}, pages = {383 -- 390}, abstract = {Highly autonomous production cells are a crucial part of manufacturing systems in industry 4.0 and can contribute to a sustainable value-adding process. To realize a high degree of autonomy in production cells with an industrial robot and a machine tool, an experimental approach was carried out to deal with numerous challenges on various automation levels. One crucial aspect is the scheduling problem of tasks for each resource (machine tool, tools, robot, AGV) depending on various data needed for a job-shop scheduling algorithm. The findings show that the necessary data has to be derived from different automation levels in a company: horizontally from ERP to shop-floor, vertically from the order handling department to the maintenance department. Utilizing that data, the contribution provides a cascaded scheduling approach for machine tool jobs as well as CNC and robot tasks for highly autonomous production cells supplied by AGVs.}, language = {en} } @article{SeitzScherdelReichenaueretal., author = {Seitz, Philipp and Scherdel, Christian and Reichenauer, Gudrun and Schmitt, Jan}, title = {Machine Learning in the development of Si-based anodes using Small-Angle X-ray Scattering for structural property analysis}, series = {Computational Materials Science}, volume = {218}, journal = {Computational Materials Science}, pages = {111984 -- 111984}, language = {en} } @inproceedings{VoglerKauppSchmittetal., author = {Vogler, N. and Kaupp, Tobias and Schmitt, Jan and Antelmann, H.}, title = {Maturity level models for the evaluation of the digitalization progress of assembly-intensive production processes}, series = {German Assembly Engineering 2019}, booktitle = {German Assembly Engineering 2019}, language = {en} } @article{MillerEngelmannKauppetal., author = {Miller, Eddi and Engelmann, Bastian and Kaupp, Tobias and Schmitt, Jan}, title = {Advanced Cascaded Scheduling for Highly Autonomous Production Cells with Material Flow and Tool Lifetime Consideration using AGVs}, series = {Journal of Machine Engineering}, journal = {Journal of Machine Engineering}, issn = {2391-8071}, language = {en} } @inproceedings{HartmannDzemkoEngelmannetal., author = {Hartmann, J{\"u}rgen and Dzemko, Mikita and Engelmann, Bastian and Schmitt, Jan}, title = {Toward Shifted Production Strategies Through Additive Manufacturing: A Technology and Market Review for Changing Value Chains}, series = {7th CIRP Global Web Conference (86)}, volume = {86}, booktitle = {7th CIRP Global Web Conference (86)}, doi = {10.1016/j.procir.2020.01.029}, pages = {228 -- 233}, abstract = {In the last decade many different additive manufacturing (AM) technologies for metal, plastic or ceramic processing raise from research to commercialization. As a result, AM grows into different business areas and transforms structures and processes. Hence, the contribution tends to show the change in added values though the availability of different additive manufacturing technologies based on a technology screening and market research. Regarding the named purpose, a broad market research of 83 companies and 339 printer models has been conducted to find patterns of AM technology market share and regions to structure indicators such as accuracy by processed material classes with a specified AM method. Printing materials as metal, plastic, ceramic and carbon have been considered. The categorization is done by the AM principles: power bed fusion, material extrusion, vat photopolymerization and …}, language = {en} }