TY - CHAP A1 - Dobhan, Alexander A1 - Eberhardt, Lars A1 - Haseneder, Markus A1 - Raab, Heiko A1 - Rabenstein, Steffen A1 - Treutlein, Axel A1 - Wahyudi, Vincent A1 - Storath, Martin A1 - Storath, Martin T1 - Digitalization in Small-Load-Carrier Management T2 - Proceedings of the 27th International Conference on Enterprise Information Systems Y1 - 2025 U6 - https://doi.org/10.5220/0013363200003929 SP - 848 EP - 855 PB - SCITEPRESS - Science and Technology Publications ER - TY - CHAP A1 - Hartmann, Jürgen A1 - Dobhan, Alexander A1 - Engelmann, Bastian A1 - Eberhardt, Lars A1 - Heusinger, Moritz A1 - Raab, C A1 - Schleif, Frank-Michael A1 - Türk, M. T1 - Optimierung von Prozessen und Werkzeugmaschinen durch Bereitstellung, Analyse und Soll-Ist-Vergleich von Produktionsdaten: Digitalkonferenz Y1 - 2020 ER - TY - JOUR A1 - Hofmann, Jan A1 - Eberhardt, Lars A1 - Heusinger, Moritz A1 - Dobhan, Alexander A1 - Engelmann, Bastian A1 - Schleif, Frank-Michael T1 - Optimierung von Prozessen und Werkzeugmaschinen durch Bereitstellung, Analyse und Soll-Ist-Vergleich von Produktionsdaten JF - FHWS Science Journal N2 - Mit einem Umsatz von 103 Milliarden Euro ist die Metallindustrie eine der größten deutschen Industriebranchen. Diese ist von volatilen Marktbedingungen und hohem Wettbewerb geprägt [1][2]. Kleine und mittlere produzierende Unternehmen (sogenannte KMU) sehen zunehmend gravierende Probleme bei der Einhaltung von Lieferterminen bedingt durch hohe Durchlaufzeiten in der Produktion [3]. Neben kaufmännischen Planungssystemen zur Erstellung von Produktionsplänen nutzen Unternehmen als Planungsgrundlage weiterhin Excel mit 31 % und manuelle Prozesse mit 10 % [4]. Gleiches gilt für Produktwechselvorgänge auf Maschinen (Rüsten). Aufgrund dieser Aspekte ist es notwendig, die Rentabilität der KMU in der Metallindustrie zu steigern. Das wird durch effiziente Produktionsplanung und -steuerung, sowie der daraus resultierenden hohen Reaktionsfähigkeit und Flexibilität realisiert. Daher ist die Produktionsplanung auf die Markt- und Kundenanforderungen und die Anlageneffektivität auf ein hohes und stabiles Niveau auszurichten [5]. Hier bietet die Erfassung von Echtzeitdaten eine adäquate Reaktion auf die genannten Anforderungen. Ebenfalls liefert sie großes Potenzial für die Produktionsplanung und -steuerung, um die Disposition und Koordination von Arbeitsaufträgen zu optimieren. Weiterhin werden Störgrößen oder unvorhergesehene Planungsabweichungen reduziert [4][6]. Zusätzlich ist eine erhöhte Transparenz und Verbesserung menschlicher Entscheidungsprozesse notwendig. Dies kann durch datengetriebene Methoden unterstützt und sichergestellt werden [7]. Ein Ansatz zur Optimierung des Produktionsergebnisses kann durch die Erhöhung der Anlagenproduktivität selbst realisiert werden. Dazu muss die Verfügbarkeit der Anlagen durch Lokalisierung und Reduzierung von Verlusten erhöht werden. Die Umrüstungsprozesse tragen stark negativ zur Verfügbarkeit einer Produktion bei. Eine Steigerung der Gesamtanlageneffektivität (overall equipment effectiveness oder kurz OEE) in einer Fertigungsumgebung ist jedoch möglich durch eine intelligente Nutzung von Sensordaten mit Techniken wie z. B. Machine Learning (ML). KW - produktionsdaten KW - metall Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:863-opus-20012 UR - https://nbn-resolving.org/urn:nbn:de:bvb:863-opus-19389 SN - 2196-6095 VL - 5 IS - 2 SP - 135 EP - 142 ER - TY - CHAP A1 - Sucky, Eric A1 - Werner, Jan A1 - Biethahn, Niels A1 - Dobhan, Alexander A1 - Hippner, Lisa A1 - Kurbjuhn, Sophie A1 - Nägle, Kristen A1 - Ankenbrand, Karina A1 - Karl, David A1 - Dehler, Jessica A1 - Zitzmann, Immanuel A1 - Narasimhamoorthy, Sahana A1 - Knobloch, Bernd A1 - Zwiefel, Thomas A1 - Eberhardt, Lars A1 - Heidenreich, Michael A1 - Markert, Felix A1 - Honekamp, Wilfried A1 - Rosenkranz, Philipp A1 - Honekamp, Ivonne A1 - Niemann, Pia A1 - Polster, Heiko A1 - Labudde, Dirk A1 - Povalej, Roman A1 - Volkmann, Dirk A1 - Vogelsang, Michael A1 - Lucas, Christian A1 - Schmid, Franziska A1 - Teichert, Matthias A1 - Schulz, Helena ED - Sucky, Eric ED - Biethahn, Niels ED - Werner, Jan ED - Dobhan, Alexander T1 - Mobility in a Globalised World 2021 T2 - Logistik und Supply Chain Management N2 - The term mobility has different meanings in the following science disciplines. In economics, mobility is the ability of an individual or a group to improve their economic status in relation to income and wealth within their lifetime or between generations. In information systems and computer science, mobility is used for the concept of mobile computing, in which a computer is transported by a person during normal use. Logistics creates by the design of logistics networks the infrastructure for the mobility of people and goods. Electric mobility is one of today’s solutions from an engineering perspective to reduce the need of energy resources and environmental impact. Moreover, for urban planning, mobility is the crunch question about how to optimize the different needs for mobility and how to link different transportation systems. In this publication we collected the ideas of practitioners, researchers, and government officials regarding the different modes of mobility in a globalised world, focusing on both domestic and international issues. Y1 - 2022 SN - 978-3-86309-860-5 SN - 978-3-86309-861-2 U6 - https://doi.org/10.20378/irb-54195 VL - 26 PB - University of Bamberg Press CY - Bamberg ER - TY - JOUR A1 - Wahyudi, Vincent A1 - Ziegler, Cedric C. A1 - Frieß, Matthias A1 - Schramm, Stefan A1 - Lang, Constantin A1 - Eberhardt, Lars A1 - Freund, Fabian A1 - Dobhan, Alexander A1 - Storath, Martin T1 - A computer vision system for recognition and defect detection for reusable containers JF - Machine Vision and Applications N2 - Abstract Small load carriers (SLCs) are standardized reusable containers used to transport and protect customer goods in many manufacturers. Throughout the life cycle of the SLCs, they will be collected, manually checked for defects (wear, cracks, and residue on the surface), and cleaned by specialized logistic companies. Human operators in small to medium-sized companies manually evaluate the defects due to the variety and degree of possible defects and varying customer needs. This manual evaluation is not scalable and prone to errors. This work aims to fill this gap by proposing a computer vision system that can recognize the SLC type for inventory management and perform defect detection automatically. First, we develop a camera portal, consisting of standard components, that capture the relevant surfaces of the SLC. A labeled dataset of 17,530 images of 34 different SLCs with their defect status was recorded using this camera portal. We trained a classification model (ConvNeXt) using our dataset to predict the different types of SLCs achieving 100% class prediction accuracy. For defect detection, we explore eight state-of-the-art (SOTA) anomaly detection models that achieved high rankings in the MVTec industrial anomaly detection benchmark. These models are trained using default hyperparameters and the two highest-scoring models were chosen and fine-tuned. The best-fine-tuned models based on “Area under the Receiver Operating Characteristic Curve (AUROC)” are PatchCore (0.811) and DRAEM (0.748). These results indicate that there is still potential for improvement in the automation of defect detection of SLCs. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:863-opus-57430 SN - 0932-8092 VL - 36 IS - 2 PB - Springer Science and Business Media LLC ER - TY - CHAP A1 - Müller, Jonas A1 - Eberhardt, Lars A1 - Wahyudi, Vincent A1 - Storath, Martin A1 - Dobhan, Alexander T1 - Towards an Approach on Location Data Analysis for Reusable Small-load Carriers T2 - Proceedings of the 58th Hawaii International Conference on System Sciences Y1 - 2025 UR - https://hdl.handle.net/10125/109488 ER - TY - CHAP A1 - Schneider, Stanislav A1 - Eberhardt, Lars A1 - Dobhan, Alexander A1 - Schwindl-Braun, Kurt T1 - Human Factors Affecting a Strategic Marketing Decision: An Experimental Research Design T2 - Eurasian Studies in Business and Economics Y1 - 2025 SN - 9783032033208 U6 - https://doi.org/10.1007/978-3-032-03321-5_10 SN - 2364-5067 SP - 191 EP - 209 PB - Springer Nature Switzerland CY - Cham ER - TY - JOUR A1 - Eberhardt, Lars A1 - Markert, Robert A1 - Dobhan, Alexander T1 - Towards an approach for strategic IoT architecture decision processes in SMEs JF - Information Systems and e-Business Management N2 - Research in this article refers to the influencing factors during Strategic IoT architecture decisions in small and medium-sized enterprises. Our results reveal the importance of each factor and its influence on other factors. A selection of influencing factors - mainly from literature - is examined for their significance and relations using Interpretive Structural Modeling. The data for the Interpretive Structural Modeling comes from an interview study with high-quality experts from the German-speaking area. Based on the results, a decision environment for practical decision-makers is built up from the influencing factors found. Subsequently, we provide a tactic to manage the decision-making process via a guide for practitioners. The outcome of our research can help SME practitioners control influencing factors on strategic decisions about the IoT architecture to improve the decision outcome. The authors are unaware of any literature source that provides an approach to handling the influencing factors of strategic IoT architecture decisions in small and medium-sized enterprises. Y1 - 2025 U6 - https://doi.org/10.1007/s10257-025-00712-7 SN - 1617-9846 PB - Springer Science and Business Media LLC ER - TY - CHAP A1 - Eberhardt, Lars A1 - Dobhan, Alexander ED - Sucky, Eric ED - Kolke, Reinhard ED - Biethahn, Niels ED - Werner, Jan ED - Vogelsang, Michael T1 - Eine Methode zur Bestimmung eines Abbruchkriteriums für die strategische Standortentscheidung T2 - Mobility in a globalised world 2018 N2 - Decisions on location planning are complex strategic business decisions involving a considerable number of risks for a company´s management. To reduce the general risk of making a wrong decision literature offers a wide range of different approaches (Krebs & Reinhart, 2012). All of these methods base on one similar key fact – the decision quality increasing with the amount and detail level of the used parameters. Therefore, the conference paper addresses the finding of a general abort criterion, by finding the right decision parameters and reduce them to a reasonable number. Y1 - 2019 SN - 978-3-86309-662-5 U6 - https://doi.org/10.20378/irb-47129 SP - 138 EP - 158 PB - University of Bamberg Press CY - Bamberg ER -