@inproceedings{KapoorBollerGiljohannetal.2010,
  author    = {Kapoor, Hrshi and Boller, Christian and Giljohann, Sebastian and Braun, Carsten},
  title     = {Strategies for structural health monitoring implementation potential assessment in aircraft operational life extension considerations},
  series = {2nd International Symposium on NDT in Aerospace : November 22-24, 2010 Hamburg, Germany},
  booktitle = {2nd International Symposium on NDT in Aerospace : November 22-24, 2010 Hamburg, Germany},
  publisher = {Dt. Gesellschaft f{\"u}r Zerst{\"o}rungsfreie Pr{\"u}fung},
  address   = {Berlin},
  organization    = {Deutsche Gesellschaft f{\"u}r Zerst{\"o}rungsfreie Pr{\"u}fung},
  isbn      = {978-3-940283-28-3},
  pages     = {9},
  year      = {2010},
  language  = {en}
}
@inproceedings{BraunHoefkenSchubaetal.2015,
  author    = {Braun, Sebastian and H{\"o}fken, Hans-Wilhelm and Schuba, Marko and Breuer, Michael},
  title     = {Forensische Sicherung von DSLRoutern},
  series = {Proceedings of D-A-CH Security 2015. St. Augustin 8. und 9. September 2015},
  booktitle = {Proceedings of D-A-CH Security 2015. St. Augustin 8. und 9. September 2015},
  pages     = {11 S.},
  year      = {2015},
  language  = {de}
}
@article{UlmerBraunChengetal.2020,
  author    = {Ulmer, Jessica and Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Human-Centered Gamification Framework for Manufacturing Systems},
  series = {Procedia CIRP},
  volume    = {93},
  journal   = {Procedia CIRP},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2212-8271},
  doi       = {10.1016/j.procir.2020.04.076},
  pages     = {670 -- 675},
  year      = {2020},
  abstract  = {While bringing new opportunities, the Industry 4.0 movement also imposes new challenges to the manufacturing industry and all its stakeholders. In this competitive environment, a skilled and engaged workforce is a key to success. Gamification can generate valuable feedbacks for improving employees' engagement and performance. Currently, Gamification in workspaces focuses on computer-based assignments and training, while tasks that require manual labor are rarely considered. This research provides an overview of Enterprise Gamification approaches and evaluates the challenges. Based on that, a skill-based Gamification framework for manual tasks is proposed, and a case study in the Industry 4.0 model factory is shown.},
  language  = {en}
}
@inproceedings{BraunChengDoweyetal.2020,
  author    = {Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Survey on Security Concepts to Adapt Flexible Manufacturing and Operations Management based upon Multi-Agent Systems},
  series = {2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)},
  booktitle = {2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)},
  doi       = {10.1109/ISIE45063.2020.9152210},
  year      = {2020},
  language  = {en}
}
@inproceedings{UlmerBraunChengetal.2021,
  author    = {Ulmer, Jessica and Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Adapting Augmented Reality Systems to the users' needs using Gamification and error solving methods},
  series = {Procedia CIRP},
  volume    = {104},
  booktitle = {Procedia CIRP},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2212-8271},
  doi       = {10.1016/j.procir.2021.11.024},
  pages     = {140 -- 145},
  year      = {2021},
  abstract  = {Animations of virtual items in AR support systems are typically predefined and lack interactions with dynamic physical environments. AR applications rarely consider users' preferences and do not provide customized spontaneous support under unknown situations. This research focuses on developing adaptive, error-tolerant AR systems based on directed acyclic graphs and error resolving strategies. Using this approach, users will have more freedom of choice during AR supported work, which leads to more efficient workflows. Error correction methods based on CAD models and predefined process data create individual support possibilities. The framework is implemented in the Industry 4.0 model factory at FH Aachen.},
  language  = {en}
}
@article{BraunChengDoweyetal.2021,
  author    = {Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Performance evaluation of skill-based order-assignment in production environments with multi-agent systems},
  series = {IEEE Journal of Emerging and Selected Topics in Industrial Electronics},
  journal   = {IEEE Journal of Emerging and Selected Topics in Industrial Electronics},
  number    = {Early Access},
  publisher = {IEEE},
  address   = {New York},
  issn      = {2687-9735},
  doi       = {10.1109/JESTIE.2021.3108524},
  year      = {2021},
  abstract  = {The fourth industrial revolution introduces disruptive technologies to production environments. One of these technologies are multi-agent systems (MASs), where agents virtualize machines. However, the agent's actual performances in production environments can hardly be estimated as most research has been focusing on isolated projects and specific scenarios. We address this gap by implementing a highly connected and configurable reference model with quantifiable key performance indicators (KPIs) for production scheduling and routing in single-piece workflows. Furthermore, we propose an algorithm to optimize the search of extrema in highly connected distributed systems. The benefits, limits, and drawbacks of MASs and their performances are evaluated extensively by event-based simulations against the introduced model, which acts as a benchmark. Even though the performance of the proposed MAS is, on average, slightly lower than the reference system, the increased flexibility allows it to find new solutions and deliver improved factory-planning outcomes. Our MAS shows an emerging behavior by using flexible production techniques to correct errors and compensate for bottlenecks. This increased flexibility offers substantial improvement potential. The general model in this paper allows the transfer of the results to estimate real systems or other models.},
  language  = {en}
}
@inproceedings{UlmerBraunChengetal.2022,
  author    = {Ulmer, Jessica and Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Usage of digital twins for gamification applications in manufacturing},
  series = {Procedia CIRP},
  volume    = {107},
  booktitle = {Procedia CIRP},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2212-8271},
  doi       = {10.1016/j.procir.2022.05.044},
  pages     = {675 -- 680},
  year      = {2022},
  abstract  = {Gamification applications are on the rise in the manufacturing sector to customize working scenarios, offer user-specific feedback, and provide personalized learning offerings. Commonly, different sensors are integrated into work environments to track workers' actions. Game elements are selected according to the work task and users' preferences. However, implementing gamified workplaces remains challenging as different data sources must be established, evaluated, and connected. Developers often require information from several areas of the companies to offer meaningful gamification strategies for their employees. Moreover, work environments and the associated support systems are usually not flexible enough to adapt to personal needs. Digital twins are one primary possibility to create a uniform data approach that can provide semantic information to gamification applications. Frequently, several digital twins have to interact with each other to provide information about the workplace, the manufacturing process, and the knowledge of the employees. This research aims to create an overview of existing digital twin approaches for digital support systems and presents a concept to use digital twins for gamified support and training systems. The concept is based upon the Reference Architecture Industry 4.0 (RAMI 4.0) and includes information about the whole life cycle of the assets. It is applied to an existing gamified training system and evaluated in the Industry 4.0 model factory by an example of a handle mounting.},
  language  = {en}
}
@article{UlmerGroeningerBraunetal.2020,
  author    = {Ulmer, Jessica and Gr{\"o}ninger, Marc and Braun, Sebastian and Wollert, J{\"o}rg},
  title     = {AR Arbeitspl{\"a}tze: F{\"u}r hochflexible und skalierbare Produktionsumgebungen},
  series = {atp Magazin},
  volume    = {62},
  journal   = {atp Magazin},
  number    = {10},
  publisher = {Vulkan-Verlag},
  address   = {Essen},
  issn      = {2364-3137},
  doi       = {10.17560/atp.v62i10.2495},
  year      = {2020},
  abstract  = {Trotz fortschreitender Automatisierung bleiben manuelle T{\"a}tigkeiten ein wichtiger Baustein der Fertigung kundenindividueller Produkte. Um die Mitarbeiter(innen) zu unterst{\"u}tzen und um eine effiziente Arbeit zu erm{\"o}glichen, werden zunehmend auf Augmented Reality (AR) basierende Systeme eingesetzt. Die vorgestellte Arbeit konzentriert sich auf die Entwicklung ganzheitlicher AR-Arbeitspl{\"a}tze f{\"u}r den Einsatz in kleinen und mittleren Unternehmen (KMU). Das entwickelte AR- Handarbeitskonzept beinhaltet eine Just-in-time-Darstellung der Arbeitsaufgaben auf Werkst{\"u}cken mit automatisierter Fertigungskontrolle. Als Reaktion auf kurze Produktlebenszyklen und hohe Produktvielfalten sind alle Komponenten auf maximale Flexibilit{\"a}t ausgelegt. Ein Umr{\"u}sten auf neue Produkte kann innerhalb von Minuten erfolgen.},
  language  = {de}
}
@inproceedings{UlmerBraunWollert2018,
  author    = {Ulmer, Jessica and Braun, Sebastian and Wollert, J{\"o}rg},
  title     = {Generische IoT Adapter f{\"u}r semantische Maschinenschnittstellen},
  series = {Internet of Things - vom Sensor bis zur Cloud},
  booktitle = {Internet of Things - vom Sensor bis zur Cloud},
  pages     = {1 -- 5},
  year      = {2018},
  language  = {de}
}
@inproceedings{UlmerBraunLaietal.2019,
  author    = {Ulmer, Jessica and Braun, Sebastian and Lai, Chow Yin and Cheng, Chi-Tsun and Wollert, J{\"o}rg},
  title     = {Generic integration of VR and AR in product lifecycles based on CAD models},
  series = {Proceedings of The 23rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2019},
  booktitle = {Proceedings of The 23rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2019},
  year      = {2019},
  language  = {en}
}
@inproceedings{BraunChengLaietal.2019,
  author    = {Braun, Sebastian and Cheng, Chi-Tsun and Lai, Chow Yin and Wollert, J{\"o}rg},
  title     = {Microservice Architecture for Automation - Realization by the example of a model-factory's manufacturing execution system},
  series = {Proceedings of the 23rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2019},
  booktitle = {Proceedings of the 23rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2019},
  pages     = {33 -- 37},
  year      = {2019},
  language  = {en}
}
@inproceedings{UlmerBraunChengetal.2020,
  author    = {Ulmer, Jessica and Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Gamified Virtual Reality Training Environment for the Manufacturing Industry},
  doi       = {10.1109/ME49197.2020.9286661},
  pages     = {1 -- 6},
  year      = {2020},
  language  = {de}
}
@inproceedings{UlmerBraunChengetal.2020,
  author    = {Ulmer, Jessica and Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Simulation und Verifikation komplexer Handarbeitsprozesse durch die Kombination von Virtual Reality und Augmented Reality im Single-Piece-Workflow},
  series = {AALE 2020, 17. Fachkonferenz Angewandte Automatisierungstechnik in Lehre und Entwicklung, Automatisierung und Mensch-Technik-Interaktion, Leipzig, DE, 4.-6.3.2020},
  booktitle = {AALE 2020, 17. Fachkonferenz Angewandte Automatisierungstechnik in Lehre und Entwicklung, Automatisierung und Mensch-Technik-Interaktion, Leipzig, DE, 4.-6.3.2020},
  isbn      = {978-3-8007-5180-8},
  pages     = {1 -- 4},
  year      = {2020},
  language  = {de}
}
@article{UlmerBraunChengetal.2022,
  author    = {Ulmer, Jessica and Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Gamification of virtual reality assembly training: Effects of a combined point and level system on motivation and training results},
  series = {International Journal of Human-Computer Studies},
  volume    = {165},
  journal   = {International Journal of Human-Computer Studies},
  number    = {Art. No. 102854},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1071-5819},
  doi       = {10.1016/j.ijhcs.2022.102854},
  year      = {2022},
  abstract  = {Virtual Reality (VR) offers novel possibilities for remote training regardless of the availability of the actual equipment, the presence of specialists, and the training locations. Research shows that training environments that adapt to users' preferences and performance can promote more effective learning. However, the observed results can hardly be traced back to specific adaptive measures but the whole new training approach. This study analyzes the effects of a combined point and leveling VR-based gamification system on assembly training targeting specific training outcomes and users' motivations. The Gamified-VR-Group with 26 subjects received the gamified training, and the Non-Gamified-VR-Group with 27 subjects received the alternative without gamified elements. Both groups conducted their VR training at least three times before assembling the actual structure. The study found that a level system that gradually increases the difficulty and error probability in VR can significantly lower real-world error rates, self-corrections, and support usages. According to our study, a high error occurrence at the highest training level reduced the Gamified-VR-Group's feeling of competence compared to the Non-Gamified-VR-Group, but at the same time also led to lower error probabilities in real-life. It is concluded that a level system with a variable task difficulty should be combined with carefully balanced positive and negative feedback messages. This way, better learning results, and an improved self-evaluation can be achieved while not causing significant impacts on the participants' feeling of competence.},
  language  = {en}
}
@inproceedings{EvansBraunUlmeretal.2022,
  author    = {Evans, Benjamin and Braun, Sebastian and Ulmer, Jessica and Wollert, J{\"o}rg},
  title     = {AAS implementations - current problems and solutions},
  series = {20th International Conference on Mechatronics - Mechatronika (ME)},
  booktitle = {20th International Conference on Mechatronics - Mechatronika (ME)},
  publisher = {IEEE},
  isbn      = {978-1-6654-1040-3},
  doi       = {10.1109/ME54704.2022.9982933},
  pages     = {6 Seiten},
  year      = {2022},
  abstract  = {The fourth industrial revolution presents a multitude of challenges for industries, one of which being the increased flexibility required of manufacturing lines as a result of increased consumer demand for individualised products. One solution to tackle this challenge is the digital twin, more specifically the standardised model of a digital twin also known as the asset administration shell. The standardisation of an industry wide communications tool is a critical step in enabling inter-company operations. This paper discusses the current state of asset administration shells, the frameworks used to host them and their problems that need to be addressed. To tackle these issues, we propose an event-based server capable of drastically reducing response times between assets and asset administration shells and a multi-agent system used for the orchestration and deployment of the shells in the field.},
  language  = {en}
}
@inproceedings{UlmerBraunWollert2021,
  author    = {Ulmer, Jessica and Braun, Sebastian and Wollert, J{\"o}rg},
  title     = {Adaptive VR-Produktionsumgebungen f{\"u}r Evaluations- und Schulungst{\"a}tigkeiten},
  series = {Automation 2021: Navigating towards resilient Production},
  booktitle = {Automation 2021: Navigating towards resilient Production},
  publisher = {VDI},
  address   = {D{\"u}sseldorf},
  isbn      = {978-3-18-092392-5},
  issn      = {0083-5560},
  doi       = {10.51202/9783181023921-55},
  pages     = {55 -- 64},
  year      = {2021},
  abstract  = {Industrie 4.0 stellt viele Herausforderungen an produzierende Unternehmen und ihre Besch{\"a}f-tigten. Innovative und effektive Trainingsstrategien sind erforderlich, um mit den sich schnell ver{\"a}ndernden Produktionsumgebungen und neuen Fertigungstechnologien Schritt halten zu k{\"o}nnen. Virtual Reality (VR) bietet neue M{\"o}glichkeiten f{\"u}r On-the-Job, On-Demand- und Off-Premise-Schulungen. Diese Arbeit stellt ein neues VR Schulungssystem vor, welches sich flexible an unterschiedliche Trainingsobjekte auf Grundlage von Rezepten und CAD Modellen anpassen l{\"a}sst. Das Konzept basiert auf gerichteten azyklischen Graphen und einem Level-system. Es erm{\"o}glicht eine benutzerindividuelle Lerngeschwindigkeit mittels visueller Ele-mente. Das Konzept wurde f{\"u}r einen mechanischen Anwendungsfall mit Industriekomponen-ten implementiert und in der Industrie 4.0-Modellfabrik der FH Aachen umgesetzt.},
  language  = {de}
}