@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{HartmannDobhanEngelmannetal., author = {Hartmann, J{\"u}rgen and Dobhan, Alexander and Engelmann, Bastian and Eberhardt, Lars and Heusinger, Moritz and Raab, C and Schleif, Frank-Michael and T{\"u}rk, M.}, title = {Optimierung von Prozessen und Werkzeugmaschinen durch Bereitstellung, Analyse und Soll-Ist-Vergleich von Produktionsdaten: Digitalkonferenz}, language = {en} } @article{HofmannEberhardtHeusingeretal., author = {Hofmann, Jan and Eberhardt, Lars and Heusinger, Moritz and Dobhan, Alexander and Engelmann, Bastian and Schleif, Frank-Michael}, title = {Optimierung von Prozessen und Werkzeugmaschinen durch Bereitstellung, Analyse und Soll-Ist-Vergleich von Produktionsdaten}, 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-20012}, pages = {135 -- 142}, abstract = {Mit einem Umsatz von 103 Milliarden Euro ist die Metallindustrie eine der gr{\"o}ßten deutschen Industriebranchen. Diese ist von volatilen Marktbedingungen und hohem Wettbewerb gepr{\"a}gt [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 kaufm{\"a}nnischen Planungssystemen zur Erstellung von Produktionspl{\"a}nen nutzen Unternehmen als Planungsgrundlage weiterhin Excel mit 31 \% und manuelle Prozesse mit 10 \% [4]. Gleiches gilt f{\"u}r Produktwechselvorg{\"a}nge auf Maschinen (R{\"u}sten). Aufgrund dieser Aspekte ist es notwendig, die Rentabilit{\"a}t der KMU in der Metallindustrie zu steigern. Das wird durch effiziente Produktionsplanung und -steuerung, sowie der daraus resultierenden hohen Reaktionsf{\"a}higkeit und Flexibilit{\"a}t realisiert. Daher ist die Produktionsplanung auf die Markt- und Kundenanforderungen und die Anlageneffektivit{\"a}t auf ein hohes und stabiles Niveau auszurichten [5]. Hier bietet die Erfassung von Echtzeitdaten eine ad{\"a}quate Reaktion auf die genannten Anforderungen. Ebenfalls liefert sie großes Potenzial f{\"u}r die Produktionsplanung und -steuerung, um die Disposition und Koordination von Arbeitsauftr{\"a}gen zu optimieren. Weiterhin werden St{\"o}rgr{\"o}ßen oder unvorhergesehene Planungsabweichungen reduziert [4][6]. Zus{\"a}tzlich ist eine erh{\"o}hte Transparenz und Verbesserung menschlicher Entscheidungsprozesse notwendig. Dies kann durch datengetriebene Methoden unterst{\"u}tzt und sichergestellt werden [7]. Ein Ansatz zur Optimierung des Produktionsergebnisses kann durch die Erh{\"o}hung der Anlagenproduktivit{\"a}t selbst realisiert werden. Dazu muss die Verf{\"u}gbarkeit der Anlagen durch Lokalisierung und Reduzierung von Verlusten erh{\"o}ht werden. Die Umr{\"u}stungsprozesse tragen stark negativ zur Verf{\"u}gbarkeit einer Produktion bei. Eine Steigerung der Gesamtanlageneffektivit{\"a}t (overall equipment effectiveness oder kurz OEE) in einer Fertigungsumgebung ist jedoch m{\"o}glich durch eine intelligente Nutzung von Sensordaten mit Techniken wie z. B. Machine Learning (ML).}, language = {de} } @inproceedings{SuckyWernerBiethahnetal., author = {Sucky, Eric and Werner, Jan and Biethahn, Niels and Dobhan, Alexander and Hippner, Lisa and Kurbjuhn, Sophie and N{\"a}gle, Kristen and Ankenbrand, Karina and Karl, David and Dehler, Jessica and Zitzmann, Immanuel and Narasimhamoorthy, Sahana and Knobloch, Bernd and Zwiefel, Thomas and Eberhardt, Lars and Heidenreich, Michael and Markert, Felix and Honekamp, Wilfried and Rosenkranz, Philipp and Honekamp, Ivonne and Niemann, Pia and Polster, Heiko and Labudde, Dirk and Povalej, Roman and Volkmann, Dirk and Vogelsang, Michael and Lucas, Christian and Schmid, Franziska and Teichert, Matthias and Schulz, Helena}, title = {Mobility in a Globalised World 2021}, series = {Logistik und Supply Chain Management}, volume = {26}, booktitle = {Logistik und Supply Chain Management}, editor = {Sucky, Eric and Biethahn, Niels and Werner, Jan and Dobhan, Alexander}, publisher = {University of Bamberg Press}, address = {Bamberg}, isbn = {978-3-86309-860-5}, doi = {10.20378/irb-54195}, pages = {386}, abstract = {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.}, language = {de} } @article{WahyudiZieglerFriessetal., author = {Wahyudi, Vincent and Ziegler, Cedric C. and Frieß, Matthias and Schramm, Stefan and Lang, Constantin and Eberhardt, Lars and Freund, Fabian and Dobhan, Alexander and Storath, Martin}, title = {A computer vision system for recognition and defect detection for reusable containers}, series = {Machine Vision and Applications}, volume = {36}, journal = {Machine Vision and Applications}, number = {2}, publisher = {Springer Science and Business Media LLC}, issn = {0932-8092}, doi = {10.1007/s00138-024-01636-x}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:863-opus-57430}, abstract = {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.}, language = {en} } @inproceedings{MuellerEberhardtWahyudietal., author = {M{\"u}ller, Jonas and Eberhardt, Lars and Wahyudi, Vincent and Storath, Martin and Dobhan, Alexander}, title = {Towards an Approach on Location Data Analysis for Reusable Small-load Carriers}, series = {Proceedings of the 58th Hawaii International Conference on System Sciences}, booktitle = {Proceedings of the 58th Hawaii International Conference on System Sciences}, pages = {5330 - 5339}, language = {en} } @inproceedings{SchneiderEberhardtDobhanetal., author = {Schneider, Stanislav and Eberhardt, Lars and Dobhan, Alexander and Schwindl-Braun, Kurt}, title = {Human Factors Affecting a Strategic Marketing Decision: An Experimental Research Design}, series = {Eurasian Studies in Business and Economics}, booktitle = {Eurasian Studies in Business and Economics}, publisher = {Springer Nature Switzerland}, address = {Cham}, isbn = {9783032033208}, issn = {2364-5067}, doi = {10.1007/978-3-032-03321-5_10}, pages = {191 -- 209}, language = {en} } @article{EberhardtMarkertDobhan, author = {Eberhardt, Lars and Markert, Robert and Dobhan, Alexander}, title = {Towards an approach for strategic IoT architecture decision processes in SMEs}, series = {Information Systems and e-Business Management}, journal = {Information Systems and e-Business Management}, publisher = {Springer Science and Business Media LLC}, issn = {1617-9846}, doi = {10.1007/s10257-025-00712-7}, abstract = {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.}, language = {en} } @inproceedings{EberhardtDobhan, author = {Eberhardt, Lars and Dobhan, Alexander}, title = {Eine Methode zur Bestimmung eines Abbruchkriteriums f{\"u}r die strategische Standortentscheidung}, series = {Mobility in a globalised world 2018}, booktitle = {Mobility in a globalised world 2018}, editor = {Sucky, Eric and Kolke, Reinhard and Biethahn, Niels and Werner, Jan and Vogelsang, Michael}, publisher = {University of Bamberg Press}, address = {Bamberg}, isbn = {978-3-86309-662-5}, doi = {10.20378/irb-47129}, pages = {138 -- 158}, abstract = {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.}, language = {de} }