TY - JOUR A1 - Ulmer, Jessica A1 - Braun, Sebastian A1 - Cheng, Chi-Tsun A1 - Dowey, Steve A1 - Wollert, Jörg T1 - Gamification of virtual reality assembly training: Effects of a combined point and level system on motivation and training results JF - International Journal of Human-Computer Studies N2 - 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. KW - Gamification KW - Virtual reality KW - Assembly KW - User study KW - Level system Y1 - 2022 U6 - https://doi.org/10.1016/j.ijhcs.2022.102854 SN - 1071-5819 VL - 165 IS - Art. No. 102854 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Zabirov, Alexander A1 - Schleser, Markus A1 - Bucherer, Sebastian T1 - Füge- und Dichtkonzept für einen Leichtbauverbrennungsmotor JF - adhäsion KLEBEN & DICHTEN Y1 - 2021 U6 - https://doi.org/10.1007/s35145-021-0531-5 SN - 2192-8681 VL - 65 IS - 11 SP - 12 EP - 19 PB - Springer Nature CY - Cham ER - TY - JOUR A1 - Braun, Sebastian A1 - Cheng, Chi-Tsun A1 - Dowey, Steve A1 - Wollert, Jörg T1 - Performance evaluation of skill-based order-assignment in production environments with multi-agent systems JF - IEEE Journal of Emerging and Selected Topics in Industrial Electronics N2 - 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. KW - cyber-physical production systems KW - event-based simulation KW - multi-agent systems KW - digital factory KW - industrial agents Y1 - 2021 U6 - https://doi.org/10.1109/JESTIE.2021.3108524 SN - 2687-9735 IS - Early Access PB - IEEE CY - New York ER - TY - JOUR A1 - Thomas, Axel T1 - Genussrechte als Instrument der Unternehmensfinanzierung von kommunalen Wohnungs- baugesellschaften JF - VM Verwaltung und Management N2 - Die kommunalen Wohnungsbaugesellschaften und ihr Geschäftszweck bzw. Versorgungsauftrag erfahren aus gesamtgesellschaftlichen Gründen aktuell einen erheblichen Bedeutungszuwachs. Der kommunale Wohnungsbau soll und muss intensiviert werden, da z.B. zunehmend Wohnungsbindungen auslaufen. Bezahlbare Neubauten fehlen speziell Familien, Senioren, Studenten und Flüchtlingen. Um das Investitionsvolumen zu bewältigen, bedarf es nicht nur der Förderkredite, sondern auch der Zuführung „frischen Kapitals“. Der Beitrag stellt dar, dass Genussrechte ein interessantes und oft unbekanntes Finanzierungsinstrument für kommunale Wohnungsbaugesellschaften mit passgenauen Ausgestaltungsmöglichkeiten sind. Mit Hilfe von Genussrechten können die notwendigen Neubau-Investitionen solide mit Quasi-Eigenkapital unterlegt werden und den sozialen Wohnungsbau wiederbeleben. Genussrechte als Hybridkapital lassen sich mangels gesetzlicher Eingrenzung exakt und individuell ebenso an die Bedürfnisse der kommunalen Wohnungsbaugesellschaft anpassen wie an die der Gesellschafter und des jeweiligen Neubauvorhabens. Y1 - 2016 U6 - https://doi.org/10.5771/0947-9856-2016-6-322 SN - 0947-9856 VL - 22 IS - 6 SP - 322 EP - 327 PB - Nomos CY - Baden-Baden ER - TY - JOUR A1 - Enning, Manfred A1 - Pfaff, Raphael T1 - Güterwagen 4.0 - Der Güterwagen für das Internet der Dinge. Teil 1: Gesamtsystembetrachtung und grundlegendes Konzept JF - ETR - Eisenbahntechnische Rundschau Y1 - 2017 SN - 0013-2845 VL - 66 IS - 1/2 SP - 12 EP - 16 PB - DVV Media Group CY - Hamburg ER - TY - JOUR A1 - Enning, Manfred T1 - Vom "König der Landstraße" zur "Ameise 4.0" JF - ETR - Eisenbahntechnische Rundschau N2 - Auf Eisenbahn- und Logistikkonferenzen werden gelegentlich Videos von Blattschneiderameisen gezeigt, die effizient und selbstorganisiert große Mengen Material durch den Dschungel transportieren. Daran sollen wir uns ein Beispiel nehmen. Y1 - 2017 SN - 0013-2845 VL - 66 IS - 1/2 SP - 3 PB - DVV Media Group CY - Hamburg ER - TY - JOUR A1 - Berg, Alexander-Karl A1 - Schleser, Markus A1 - Delidovich, Artem A1 - Houben, Alexander T1 - Ultraschallunterstützter Schmelzklebstoffauftrag JF - adhäsion KLEBEN & DICHTEN Y1 - 2018 U6 - https://doi.org/10.1007/s35145-018-0089-z VL - Volume 62 IS - Issue 12 SP - 32 EP - 37 PB - Springer ER - TY - JOUR A1 - Kampker, Achim A1 - Schleser, Markus A1 - Triebs, Johannes A1 - Berg, Alexander-Karl A1 - Hansen, Jan Ole A1 - Fiedler, Falko T1 - Bauteilintegrierte Vorrichtungsfunktionen im Karosseriebau : Aktuelle Ergebnisse im Forschungsprojekt ProeK JF - ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb N2 - Das Forschungsprojekt Produktionseffizienz in der Kleinserie (ProeK) erarbeitet kostengünstige und effiziente Lösungsansätze für Prozessketten im Zukunftsfeld der Elektromobilität. Das Teilprojekt Karosserie setzt diese Zielsetzung durch innovative und praxisorientierte Produkt- und Prozesskonzepte mit neuartigen bauteilintegrierten Vorrichtungsfunktionen (BiV) um. Im Teilprojekt Außenhaut sollen Toleranzen adaptiv durch Anpassungen der Prozessparameter sowie Bauteilmanipulation kompensiert werden. Y1 - 2018 U6 - https://doi.org/10.3139/104.112012 SN - 0947-0085 VL - 113 IS - 11 SP - 767 EP - 770 PB - De Gruyter CY - Berlin ER - TY - JOUR A1 - Engemann, Heiko A1 - Du, Shengzhi A1 - Kallweit, Stephan A1 - Cönen, Patrick A1 - Dawar, Harshal T1 - OMNIVIL - an autonomous mobile manipulator for flexible production JF - Sensors Y1 - 2020 SN - 1424-8220 U6 - https://doi.org/10.3390/s20247249 N1 - Special issue: Sensor Networks Applications in Robotics and Mobile Systems VL - 20 IS - 24, art. no. 7249 SP - 1 EP - 30 PB - MDPI CY - Basel ER - TY - JOUR A1 - Pfaff, Raphael T1 - Braking distance prediction for vehicle consist in low-speed on-sight operation: a Monte Carlo approach JF - Railway Engineering Science N2 - The first and last mile of a railway journey, in both freight and transit applications, constitutes a high effort and is either non-productive (e.g. in the case of depot operations) or highly inefficient (e.g. in industrial railways). These parts are typically managed on-sight, i.e. with no signalling and train protection systems ensuring the freedom of movement. This is possible due to the rather short braking distances of individual vehicles and shunting consists. The present article analyses the braking behaviour of such shunting units. For this purpose, a dedicated model is developed. It is calibrated on published results of brake tests and validated against a high-definition model for low-speed applications. Based on this model, multiple simulations are executed to obtain a Monte Carlo simulation of the resulting braking distances. Based on the distribution properties and established safety levels, the risk of exceeding certain braking distances is evaluated and maximum braking distances are derived. Together with certain parameters of the system, these can serve in the design and safety assessment of driver assistance systems and automation of these processes. KW - Freight rail KW - Shunting KW - Braking curves KW - Brake set-up KW - Driver assistance system Y1 - 2023 U6 - https://doi.org/10.1007/s40534-023-00303-7 SN - 2662-4753 (eISSN) SN - 2662-4745 (Print) VL - 31 IS - 2 SP - 135 EP - 144 PB - SpringerOpen ER - TY - JOUR A1 - Abbas, Karim A1 - Hedwig, Lukas A1 - Balc, Nicolae A1 - Bremen, Sebastian T1 - Advanced FFF of PEEK: Infill strategies and material characteristics for rapid tooling JF - Polymers N2 - Traditional vulcanization mold manufacturing is complex, costly, and under pressure due to shorter product lifecycles and diverse variations. Additive manufacturing using Fused Filament Fabrication and high-performance polymers like PEEK offer a promising future in this industry. This study assesses the compressive strength of various infill structures (honeycomb, grid, triangle, cubic, and gyroid) when considering two distinct build directions (Z, XY) to enhance PEEK’s economic and resource efficiency in rapid tooling. A comparison with PETG samples shows the behavior of the infill strategies. Additionally, a proof of concept illustrates the application of a PEEK mold in vulcanization. A peak compressive strength of 135.6 MPa was attained in specimens that were 100% solid and subjected to thermal post-treatment. This corresponds to a 20% strength improvement in the Z direction. In terms of time and mechanical properties, the anisotropic grid and isotropic cubic infill have emerged for use in rapid tooling. Furthermore, the study highlights that reducing the layer thickness from 0.15 mm to 0.1 mm can result in a 15% strength increase. The study unveils the successful utilization of a room-temperature FFF-printed PEEK mold in vulcanization injection molding. The parameters and infill strategies identified in this research enable the resource-efficient FFF printing of PEEK without compromising its strength properties. Using PEEK in rapid tooling allows a cost reduction of up to 70% in tool production. KW - polyetheretherketone (PEEK) KW - rapid tooling KW - infill strategy KW - compression behavior KW - additive manufacturing KW - fused filament fabrication Y1 - 2023 U6 - https://doi.org/10.3390/polym15214293 N1 - This article belongs to the Special Issue "Polymer Materials and Design Processes for Additively Manufactured Products" VL - 2023 IS - 15 PB - MDPI CY - Basel ER - TY - JOUR A1 - Luft, Angela A1 - Luft, Nils A1 - Arntz, Kristian T1 - A basic description logic for service-oriented architecture in factory planning and operational control in the age of industry 4.0 JF - Applied Sciences N2 - Manufacturing companies across multiple industries face an increasingly dynamic and unpredictable environment. This development can be seen on both the market and supply side. To respond to these challenges, manufacturing companies must implement smart manufacturing systems and become more flexible and agile. The flexibility in operational planning regarding the scheduling and sequencing of customer orders needs to be increased and new structures must be implemented in manufacturing systems’ fundamental design as they constitute much of the operational flexibility available. To this end, smart and more flexible solutions for production planning and control (PPC) are developed. However, scheduling or sequencing is often only considered isolated in a predefined stable environment. Moreover, their orientation on the fundamental logic of the existing IT solutions and their applicability in a dynamic environment is limited. This paper presents a conceptual model for a task-based description logic that can be applied to factory planning, technology planning, and operational control. By using service-oriented architectures, the goal is to generate smart manufacturing systems. The logic is designed to allow for easy and automated maintenance. It is compatible with the existing resource and process allocation logic across operational and strategic factory and production planning. KW - manufacturing data model KW - production planning and control KW - manufacturing flexibility KW - technology planning KW - SOA KW - service-oriented architectures KW - factory planning Y1 - 2023 U6 - https://doi.org/10.3390/app13137610 N1 - This article belongs to the Special Issue "Smart Industrial System" VL - 2023 IS - 13 PB - MDPI CY - Basel ER - TY - JOUR A1 - Ulmer, Jessica A1 - Braun, Sebastian A1 - Cheng, Chi-Tsun A1 - Dowey, Steve A1 - Wollert, Jörg T1 - A human factors-aware assistance system in manufacturing based on gamification and hardware modularisation JF - International Journal of Production Research N2 - Assistance systems have been widely adopted in the manufacturing sector to facilitate various processes and tasks in production environments. However, existing systems are mostly equipped with rigid functional logic and do not provide individual user experiences or adapt to their capabilities. This work integrates human factors in assistance systems by adjusting the hardware and instruction presented to the workers’ cognitive and physical demands. A modular system architecture is designed accordingly, which allows a flexible component exchange according to the user and the work task. Gamification, the use of game elements in non-gaming contexts, has been further adopted in this work to provide level-based instructions and personalised feedback. The developed framework is validated by applying it to a manual workstation for industrial assembly routines. KW - Human factors KW - assistance system KW - gamification KW - adaptive systems KW - manufacturing Y1 - 2023 U6 - https://doi.org/10.1080/00207543.2023.2166140 SN - 0020-7543 (Print) SN - 1366-588X (Online) PB - Taylor & Francis ER -