@misc{GebauerLehmann, author = {Gebauer, Marc and Lehmann, Marlon Antonin}, title = {RFID-basierte W{\"a}schesortieranlage f{\"u}r W{\"a}schest{\"u}cke aus Pflegeheimen}, series = {Melliand-Textilberichte}, volume = {99}, journal = {Melliand-Textilberichte}, number = {2}, issn = {0341-0781}, pages = {S. 93}, language = {de} } @misc{GebauerBusseLehmannetal., author = {Gebauer, Marc and Busse, Martin and Lehmann, Marlon Antonin and Winkler, Herwig and Berger, Ulrich}, title = {Lebenszyklusorientierte Betrachtung von technologiebasierten Gesch{\"a}ftsmodellinnovationen am Beispiel einer industriellen W{\"a}scherei}, series = {20. Forschungskolloquium am Fraunhofer IFF INDUSTRIE 4.0 - (R)EVOLUTION DER PRODUKTION}, journal = {20. Forschungskolloquium am Fraunhofer IFF INDUSTRIE 4.0 - (R)EVOLUTION DER PRODUKTION}, editor = {Schenk, Michael}, pages = {17 -- 26}, language = {de} } @misc{KilimisZouLehmannetal., author = {Kilimis, Panagiotis and Zou, Wenchao and Lehmann, Marlon Antonin and Berger, Ulrich}, title = {A Survey on Digitalization for SMEs in Brandenburg, Germany}, series = {9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019: Berlin, Germany, 28-30 August 2019}, volume = {52}, journal = {9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019: Berlin, Germany, 28-30 August 2019}, number = {13}, issn = {2405-8963}, doi = {10.1016/j.ifacol.2019.11.522}, pages = {2145}, abstract = {Digitalization is widely accepted as a principal technological strategy and is expected to vastly impact and transform industry, predominantly by a substantial improvement of the entire value chain. However, its implementation process remains slow, in particular for small and medium-sized enterprises (SMEs), as they tend to have misconceptions about the complexity and expense of digitalization. The purpose of this research is to analyze factors that affect Brandenburg-State, DEU SMEs in their decision making process for an effective implementation of digital technologies in their daily business routine. The results of this study are based on a survey that was conducted in cooperation with fifty SMEs, which currently face problems in the areas of enterprise resource planning (ERP), CAD/CAM, automation, logistics and production/factory planning. Ten of these SMEs have decided to invest in digitalization measures and started the implementation process. Three of them were chosen for the case study to evaluate potential benefits, trade-offs and barriers hampering the implementation of digitalization technologies. These three companies are considered representative items, since their needs and measures investigated were identical to most of the companies of this survey. It was found that the overwhelming majority of the companies regard ERP implementation as their highest priority when investing in the most cost-effective technology.}, language = {en} } @misc{LehmannPorschMai, author = {Lehmann, Marlon Antonin and Porsch, Ronny and Mai, Christopher}, title = {Assembly Process Digitization Through Self-learning Assistance Systems in Production}, series = {Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems : Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2021) and the 10th World Mass Customization \& Personalization Conference (MCPC2021), Aalborg, Denmark, October/November 2021}, journal = {Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems : Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2021) and the 10th World Mass Customization \& Personalization Conference (MCPC2021), Aalborg, Denmark, October/November 2021}, editor = {Andersen, Ann-Louise and Andersen, Rasmus and Brunoe, Thomas Ditlev and Stoettrup Schioenning Larsen, Maria and Nielsen, Kjeld and Napoleone, Alessia and Kjeldgaard, Stefan}, publisher = {Springer International Publishing}, isbn = {978-3-030-90699-3}, doi = {10.1007/978-3-030-90700-6_24}, pages = {216 -- 223}, abstract = {Abstract. As product specifications change, manufacturing processes have to adapt. In manual production tasks, the human worker is forced to adapt at the same pace. Fast-changing work tasks lead to high stress and therefore increase failures. Digital assistance systems aim to support the human workforce by providing assembly instructions at the right time and in the right place to reduce the cognitive load. The latest digital assistance systems provide multimodal humanmachine interfaces, such as augmented reality, haptic feedback, and voice control to provide information or react to the user's input.However, those digital assistance systems require the manufacturing information themselves, which are mostly provided through text-based or graphical programming. Both manufacturing experts and programmers are needed to create a digital assistance system workflow or adapt it to changes. This process is costly, time-consuming, and inflexible. This work presents a gesture recognition based approach for a self-learning digital assistance system. Therefore, assembly gestures are classified based on anatomical grip descriptions. Assembly sequences are recognized and learned by the digital assistance system using machine learning techniques. The learned procedures are used to automatically generate work instructions and guide the worker through the assembly task.}, language = {en} } @misc{BergerLehmannPorsch, author = {Berger, Ulrich and Lehmann, Marlon Antonin and Porsch, Ronny}, title = {Selbstlernende Assistenzsysteme f{\"u}r Industrieroboter}, series = {Industrie 4.0 Management}, volume = {37}, journal = {Industrie 4.0 Management}, number = {6}, issn = {2364-9208}, pages = {23 -- 26}, abstract = {Intelligente Assistenzsysteme unterst{\"u}tzen die Mitarbeiter in der Produktion und erh{\"o}hen die Effizienz durch das Einblenden von situationsbasierten Aufgabeninformationen. Im Projekt Advanced Robot Assistance Solution (ARAS) im Rahmen des Kuka Innovation Awards 2021 wurde eine Assistenztechnologie entwickelt, um automatisiert Roboterprogramme f{\"u}r Montageabl{\"a}ufe zu generieren. Durch innovative Mensch-Maschine-Schnittstellen werden Montageschritte per maschinellem Lernen erkannt und in ausf{\"u}hrbare Programme f{\"u}r Industrieroboter {\"u}bersetzt. Dadurch k{\"o}nnen roboterbasierte Montageprozesse innerhalb von Minuten auf neue Produkte angepasst werden, ohne dass die Mitarbeiter {\"u}ber Kenntnisse des Programmierens oder der Robotik verf{\"u}gen m{\"u}ssen. Ein Mitarbeiter muss den Montageprozess nur einmal vormachen. Das ARAS-System erm{\"o}glicht die kosten- und zeiteffiziente Integration und Adaption von Industrierobotern in der Montage f{\"u}r große und mittelst{\"a}ndische Unternehmen.}, language = {de} } @incollection{Lehmann, author = {Lehmann, Marlon Antonin}, title = {Intelligent Assistance Systems for Assembly Tasks}, series = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, booktitle = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, editor = {Madsen, Ole and Berger, Ulrich and M{\o}ller, Charles and Heidemann Lassen, Astrid and Vejrum W{\ae}hrens, Brian and Shou, Casper}, edition = {1. Auflage}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-031-15427-0}, pages = {203 -- 211}, abstract = {Intelligent Assistance Systems are a key technology for solving the problem of today's quickly changing product configurations and the corresponding production requirements focusing on human needs. A recent study among industrial German companies identifies higher productivity, process control, quality, and cost-effectiveness as the main potentials of assistance technologies by reducing the worker's cognitive load. Choosing the right combination of assistance technologies such as augmented reality, virtual reality, machine learning, and their functionalities like learning capabilities, situation awareness, and assembly activity recognition remain essential for their success. This chapter presents an assistance systems overview, focusing on assistance technologies, for application at production sites. Furthermore, an example of a gesture recognition-based assistance system is given, showing the benefits arising from today's advanced assistance technologies.}, language = {en} } @incollection{PorschLehmann, author = {Porsch, Ronny and Lehmann, Marlon Antonin}, title = {Evaluation of Marker-Based AR-Tracking with Vuforia in the Context of Rail Vehicle Maintenance}, series = {Advances in Information and Communication - Proceedings of the 2023 Future of Information and Communication Conference (FICC)}, booktitle = {Advances in Information and Communication - Proceedings of the 2023 Future of Information and Communication Conference (FICC)}, publisher = {Springer, Cham}, address = {San Francisco, CA, USA}, isbn = {978-3-031-28076-4}, issn = {2367-3370}, doi = {10.1007/978-3-031-28076-4_7}, pages = {65 -- 71}, abstract = {Maintenance and repair jobs present a multitude of challenges. Digital assistance systems (DAS) can be used to support workers in tackling these challenges. One way of achieving this is by using a tablet with AR-technology to display necessary information seemingly in the real world. In order to place information at the correct positions, the DAS needs to know exactly where it is currently located. Multiple approaches are available to achieve this. One of those approaches is to use a marker which is placed somewhere in the real world as an anchor point for the system. In the context of rail vehicle maintenance, the workspace is inherently large with rail wagons having lengths of more than 10 m. This means that a marker that is placed somewhere on the wagon will not always be in the field of view of the DAS's camera, resulting in a possible reduction of the precision with which virtual objects can be displayed. This paper examines the viability of the marker-based approach under realistic circumstances. It was found that with a distance of multiple meters between marker and a spot that is to be highlighted, the precision will decrease significantly.}, language = {en} }