TY  - JOUR
A1  - Ulmer, Jessica
A1  - Braun, Carsten
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  - http://dx.doi.org/10.1080/00207543.2023.2166140
SN  - 0020-7543 (Print)
SN  - 1366-588X (Online)
PB  - Taylor & Francis
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  - http://dx.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  - Wilbring, Daniela
A1  - Enning, Manfred
A1  - Pfaff, Raphael
A1  - Schmidt, Bernd
T1  - Neue Perspektiven für die Bahn in der Produktions- und Distributionslogistik durch Prozessautomation
JF  - ETR - Eisenbahntechnische Rundschau
Y1  - 2020
SN  - 0013-2845
VL  - 69
IS  - 3
SP  - 15
EP  - 19
ER  - 
TY  - CHAP
A1  - Fiedler, Gerda
A1  - Gottschlich-Müller, Birgit
A1  - Melcher, Karin
ED  - Liu-Henke, Xiaobo
ED  - Durak, Umut
T1  - Online-Prüfungen mit STACK Aufgaben
T2  - Tagungsband ASIM Workshop STS/GMMS/EDU 2021
N2  - Wir stellen hier exemplarisch STACK Aufgaben vor, die frei von der Problematik sind, welche sich durch diverse Kommunikationswege und (webbasierte) Computer Algebra Systeme (CAS) ergibt. Daher sind sie insbesondere für eine Open-Book Online Prüfung geeignet, da eine faire Prüfungssituation gewährleistet werden kann.
Y1  - 2021
SN  - 978-3-901608-69-8
U6  - http://dx.doi.org/10.11128/arep.45
N1  - Virtueller Workshop, ASIM STS/GMMS & EDU 2021, 11.-12. März 2021
PB  - ARGESIM Verlag
CY  - Wien
ER  -