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Enke C, Klein J, Sperling M, Zhou B, Furmans K (2022). Development of an Experimental Environment to Study the Challenges in Cyber-Physical Intralogistics Systems. Logistics Journal : Proceedings, Vol. 2022. (urn:nbn:de:0009-14-55856)

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%0 Journal Article
%T Development of an Experimental Environment to Study the Challenges in Cyber-Physical Intralogistics Systems
%A Enke, Constantin
%A Klein, Jan-Felix
%A Sperling, Marvin
%A Zhou, Benchun
%A Furmans, Kai
%J Logistics Journal : Proceedings
%D 2022
%V 2022
%N 18
%@ 2192-9084
%F enke2022
%X The trend towards heterogeneous, decentral systems in intralogistics results in the need for a concept to describe and virtualize assets to enable their interaction. The multi-layer concept of Cyber-Physical Intralogistics Systems (CPIS) is introduced. The system description (descriptive layer) defines the structure of the digital twins and the communication (virtual layer) of physical (robots, periphery) and logical assets (control systems, simulations). To implement this concept, an experimental environment was developed at the Institute for Material Handling and Logistics and the Karlsruhe Institute of Technology. It consists of physical components, such as models of mobile robots or manipulators, and further periphery, such as racks and charging stations. The environment is supplemented by simulations and control software. Use cases for CPIS are to be implemented and tested in this environment. Due to the easily accessible hardware components and the possible scaling of the systems in the simulation, implementation cycles can be reduced, and results can be achieved quickly without requiring a real-world intralogistics system. CPIS can be used to initialize an automated charging process or to exchange perceived position data of system participants. The primary goal is to enable a modular system, add new participants through plug-and-play, and make systems easily changeable.
%L 620
%K Cyber-Physical Intralogistics Systems
%K Industrie 4.0
%K Industry 4.0
%K Intralogistics
%K Intralogistik
%K Wandelbarkeit
%K changeability
%K cyber-physical production systems
%R 10.2195/lj_proc_enke_en_202211_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-55856
%U http://dx.doi.org/10.2195/lj_proc_enke_en_202211_01
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@Article{enke2022,
  author = 	"Enke, Constantin
		and Klein, Jan-Felix
		and Sperling, Marvin
		and Zhou, Benchun
		and Furmans, Kai",
  title = 	"Development of an Experimental Environment to Study the Challenges in Cyber-Physical Intralogistics Systems",
  journal = 	"Logistics Journal : Proceedings",
  year = 	"2022",
  volume = 	"2022",
  number = 	"18",
  keywords = 	"Cyber-Physical Intralogistics Systems; Industrie 4.0; Industry 4.0; Intralogistics; Intralogistik; Wandelbarkeit; changeability; cyber-physical production systems",
  abstract = 	"The trend towards heterogeneous, decentral systems in intralogistics results in the need for a concept to describe and virtualize assets to enable their interaction. The multi-layer concept of Cyber-Physical Intralogistics Systems (CPIS) is introduced. The system description (descriptive layer) defines the structure of the digital twins and the communication (virtual layer) of physical (robots, periphery) and logical assets (control systems, simulations). To implement this concept, an experimental environment was developed at the Institute for Material Handling and Logistics and the Karlsruhe Institute of Technology. It consists of physical components, such as models of mobile robots or manipulators, and further periphery, such as racks and charging stations. The environment is supplemented by simulations and control software. Use cases for CPIS are to be implemented and tested in this environment. Due to the easily accessible hardware components and the possible scaling of the systems in the simulation, implementation cycles can be reduced, and results can be achieved quickly without requiring a real-world intralogistics system. CPIS can be used to initialize an automated charging process or to exchange perceived position data of system participants. The primary goal is to enable a modular system, add new participants through plug-and-play, and make systems easily changeable.",
  issn = 	"2192-9084",
  doi = 	"10.2195/lj_proc_enke_en_202211_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-55856"
}
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RIS

TY  - JOUR
AU  - Enke, Constantin
AU  - Klein, Jan-Felix
AU  - Sperling, Marvin
AU  - Zhou, Benchun
AU  - Furmans, Kai
PY  - 2022
DA  - 2022//
TI  - Development of an Experimental Environment to Study the Challenges in Cyber-Physical Intralogistics Systems
JO  - Logistics Journal : Proceedings
VL  - 2022
IS  - 18
KW  - Cyber-Physical Intralogistics Systems
KW  - Industrie 4.0
KW  - Industry 4.0
KW  - Intralogistics
KW  - Intralogistik
KW  - Wandelbarkeit
KW  - changeability
KW  - cyber-physical production systems
AB  - The trend towards heterogeneous, decentral systems in intralogistics results in the need for a concept to describe and virtualize assets to enable their interaction. The multi-layer concept of Cyber-Physical Intralogistics Systems (CPIS) is introduced. The system description (descriptive layer) defines the structure of the digital twins and the communication (virtual layer) of physical (robots, periphery) and logical assets (control systems, simulations). To implement this concept, an experimental environment was developed at the Institute for Material Handling and Logistics and the Karlsruhe Institute of Technology. It consists of physical components, such as models of mobile robots or manipulators, and further periphery, such as racks and charging stations. The environment is supplemented by simulations and control software. Use cases for CPIS are to be implemented and tested in this environment. Due to the easily accessible hardware components and the possible scaling of the systems in the simulation, implementation cycles can be reduced, and results can be achieved quickly without requiring a real-world intralogistics system. CPIS can be used to initialize an automated charging process or to exchange perceived position data of system participants. The primary goal is to enable a modular system, add new participants through plug-and-play, and make systems easily changeable.
SN  - 2192-9084
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-55856
DO  - 10.2195/lj_proc_enke_en_202211_01
ID  - enke2022
ER  -
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Wordbib

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ISI

PT Journal
AU Enke, C
   Klein, J
   Sperling, M
   Zhou, B
   Furmans, K
TI Development of an Experimental Environment to Study the Challenges in Cyber-Physical Intralogistics Systems
SO Logistics Journal : Proceedings
PY 2022
VL 2022
IS 18
DI 10.2195/lj_proc_enke_en_202211_01
DE Cyber-Physical Intralogistics Systems; Industrie 4.0; Industry 4.0; Intralogistics; Intralogistik; Wandelbarkeit; changeability; cyber-physical production systems
AB The trend towards heterogeneous, decentral systems in intralogistics results in the need for a concept to describe and virtualize assets to enable their interaction. The multi-layer concept of Cyber-Physical Intralogistics Systems (CPIS) is introduced. The system description (descriptive layer) defines the structure of the digital twins and the communication (virtual layer) of physical (robots, periphery) and logical assets (control systems, simulations). To implement this concept, an experimental environment was developed at the Institute for Material Handling and Logistics and the Karlsruhe Institute of Technology. It consists of physical components, such as models of mobile robots or manipulators, and further periphery, such as racks and charging stations. The environment is supplemented by simulations and control software. Use cases for CPIS are to be implemented and tested in this environment. Due to the easily accessible hardware components and the possible scaling of the systems in the simulation, implementation cycles can be reduced, and results can be achieved quickly without requiring a real-world intralogistics system. CPIS can be used to initialize an automated charging process or to exchange perceived position data of system participants. The primary goal is to enable a modular system, add new participants through plug-and-play, and make systems easily changeable.
ER
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Bibliographic Citation Logistics Journal : referierte Veröffentlichungen, Vol. 2022, Iss. 18
Title

Development of an Experimental Environment to Study the Challenges in Cyber-Physical Intralogistics Systems (eng)
Author Constantin Enke, Jan-Felix Klein, Marvin Sperling, Benchun Zhou, Kai Furmans
Language eng
Abstract The trend towards heterogeneous, decentral systems in intralogistics results in the need for a concept to describe and virtualize assets to enable their interaction. The multi-layer concept of Cyber-Physical Intralogistics Systems (CPIS) is introduced. The system description (descriptive layer) defines the structure of the digital twins and the communication (virtual layer) of physical (robots, periphery) and logical assets (control systems, simulations). To implement this concept, an experimental environment was developed at the Institute for Material Handling and Logistics and the Karlsruhe Institute of Technology. It consists of physical components, such as models of mobile robots or manipulators, and further periphery, such as racks and charging stations. The environment is supplemented by simulations and control software. Use cases for CPIS are to be implemented and tested in this environment. Due to the easily accessible hardware components and the possible scaling of the systems in the simulation, implementation cycles can be reduced, and results can be achieved quickly without requiring a real-world intralogistics system. CPIS can be used to initialize an automated charging process or to exchange perceived position data of system participants. The primary goal is to enable a modular system, add new participants through plug-and-play, and make systems easily changeable. Der Trend zu heterogenen, dezentralen Systemen in der Intralogistik erfordert ein Konzept zur Beschreibung und Virtualisierung von Assets, um deren Interaktion zu ermöglichen. Das mehrschichtige Konzept der Cyber-Physical Intralogistics Systems wird eingeführt. Die Systembeschreibung (Descriptive Layer) definiert die Struktur der digitalen Zwillinge und der Kommunikation (Virtual Layer) von physischen (Roboter, Peripherie) und logischen Assets (Steuerungssysteme, Simulationen). Zur Umsetzung dieses Konzepts wurde am Institut für Fördertechnik und Logistiksysteme des Karlsruher Instituts für Technologie eine Versuchsumgebung entwickelt. Sie besteht aus physischen Komponenten, wie den Modellen mobiler Roboter oder Manipulatoren, und anderen intralogistischen Komponenten, wie Regalen und Ladestationen. Ergänzt wird die Umgebung durch Simulationen und Steuerungssoftware. In dieser Umgebung sollen Anwendungsfälle für CPIS implementiert und getestet werden. Durch die leicht zugänglichen Hardwarekomponenten und die mögliche Skalierung der Systeme in der Simulation können Implementierungszyklen verkürzt und Ergebnisse schnell erzielt werden, ohne dass eine reales Intralogistiksystem benötigt wird. CPIS können zur Initialisierung eines automatisierten Ladevorgangs oder zum Austausch von Positionsdaten aufgenommen durch Systemteilnehmer genutzt werden. Das primäre Ziel ist es, ein modulares System zu ermöglichen, neue Teilnehmer durch Plug-and-Play hinzuzufügen und Systeme wandelbar zu machen.
Subject Cyber-Physical Intralogistics Systems, Industrie 4.0, Industry 4.0, Intralogistics, Intralogistik, Wandelbarkeit, changeability, cyber-physical production systems
DDC 620
Rights fDPPL
URN: urn:nbn:de:0009-14-55856
DOI https://doi.org/10.2195/lj_proc_enke_en_202211_01