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  - THES
A1  - Ferraioli, Luigi
T1  - Validierung einer Simulationsumgebung für Umfeldsensorik von Schienenfahrzeugen
N2  - Diese Bachelorarbeit befasst sich mit der digitalen Nachbildung eines Testgeländes sowie eines Schienenfahrzeugs in der Simulationsumgebung Gazebo. Der Schwerpunkt liegt auf der präzisen Abbildung der Umfeldsensorik anhand eines realen Schienenfahrzeuges. Ziel ist die Erzeugung äquivalenter Messdaten der Simulationsumgebung und des realen Schienenfahrzeuges unter gleichen Einsatzbedingungen. Dazu werden unterschiedliche Verfahren eingesetzt, um die Parameter der einzelnen Sensorik so zu konfigurieren, dass die Messergebnisse mit den Messdaten der realen Sensorik konvergieren.
Die Ergebnisse der Messdaten zeigen, dass obwohl die Simulationsumgebung einige physikalische Materialeigenschaften nicht berücksichtigt, eine präzise Abbildung der Sensorik und geometrischen Strukturen des Testgeländes möglich ist. Darüber hinaus ermöglicht die Kombination von Gazebo und ROS2 Integrationstests und die Entwicklung von Softwareanwendungen sowohl in der Simulation als auch auf dem realen Schienenfahrzeug. Eine realitätsnahe und reproduzierbare Auswertung der Sensormessdaten der Simulationsumgebung für Schienenfahrzeuge ist somit realisierbar.
Y1  - 2023
PB  - FH Aachen
CY  - Aachen
ER  - 
TY  - CHAP
A1  - Dreschers, Martin
ED  - Mönning, Rolf-Dieter
T1  - §25 Arbeitsrechtliche Probleme im Rahmen der Betriebsfortführung
T2  - Betriebsfortführung in Restrukturierung und Insolvenz
Y1  - 2023
SN  - 978-3-8145-2012-4 (print)
SN  - 978-3-8145-5888-2 (e-book)
U6  - https://doi.org/https://doi.org/10.15375/9783814558882-028
SP  - 947
EP  - 988
PB  - RWS Verlag
CY  - Köln
ER  - 
TY  - CHAP
A1  - Dreschers, Martin
ED  - Kübler, Bruno M.
ED  - Bork, Reinhard
ED  - Prütting, Hanns
T1  - §18 Grenzüberschreitende Eigenverwaltung
T2  - HRI II - Handbuch Restrukturierung in der Insolvenz
Y1  - 2023
SN  - 978-3-8145-2010-0 (print)
SN  - 978-3-8145-5871-4 (e-book)
U6  - https://doi.org/10.15375/9783814558714-028
SP  - 524
EP  - 556
PB  - RWS Verlag
CY  - Köln
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  -