Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | CPS&C 2019 |
| Untertitel | Cyber-Physical Systems and Control |
| Herausgeber/-innen | Dmitry G. Arseniev, Ludger Overmeyer, Heikki Kälviäinen, Branko Katalinić |
| Herausgeber (Verlag) | Springer Nature |
| Seiten | 27-39 |
| Seitenumfang | 13 |
| Auflage | 1. |
| ISBN (elektronisch) | 978-3-030-34983-7 |
| ISBN (Print) | 978-3-030-34982-0 |
| Publikationsstatus | Veröffentlicht - 30 Nov. 2019 |
Publikationsreihe
| Name | Lecture Notes in Networks and Systems (LNNS) |
|---|---|
| Band | 95 |
| ISSN (Print) | 2367-3370 |
| ISSN (elektronisch) | 2367-3389 |
Abstract
Cyber-physical production systems are a key solution in the Industry 4.0 age. Still, the advantages of using them are not always easyly presented with numbers. In this paper, the task of arranging a cyber-physical material flow system is addressed as a multi-objective optimization problem and a genetic algorithm is used to search for a Pareto front of optimal layouts. As an example of such a material flow system, a decentralized modular conveyor, which was developed at the Institute of Transport and Automation Technology at Leibniz University Hannover, is used.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Informatik (insg.)
- Signalverarbeitung
- Informatik (insg.)
- Computernetzwerke und -kommunikation
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- BibTex
- RIS
CPS&C 2019: Cyber-Physical Systems and Control. Hrsg. / Dmitry G. Arseniev; Ludger Overmeyer; Heikki Kälviäinen; Branko Katalinić. 1. Aufl. Springer Nature, 2019. S. 27-39 (Lecture Notes in Networks and Systems (LNNS); Band 95).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Beitrag in Buch/Sammelwerk › Forschung › Peer-Review
}
TY - CHAP
T1 - Layout Optimization for Cyber-Physical Material Flow Systems Using a Genetic Algorithm
AU - Shchekutin, Nikita
AU - Overmeyer, Ludger
AU - Shkodyrev, Vyacheslav P.
PY - 2019/11/30
Y1 - 2019/11/30
N2 - Cyber-physical production systems are a key solution in the Industry 4.0 age. Still, the advantages of using them are not always easyly presented with numbers. In this paper, the task of arranging a cyber-physical material flow system is addressed as a multi-objective optimization problem and a genetic algorithm is used to search for a Pareto front of optimal layouts. As an example of such a material flow system, a decentralized modular conveyor, which was developed at the Institute of Transport and Automation Technology at Leibniz University Hannover, is used.
AB - Cyber-physical production systems are a key solution in the Industry 4.0 age. Still, the advantages of using them are not always easyly presented with numbers. In this paper, the task of arranging a cyber-physical material flow system is addressed as a multi-objective optimization problem and a genetic algorithm is used to search for a Pareto front of optimal layouts. As an example of such a material flow system, a decentralized modular conveyor, which was developed at the Institute of Transport and Automation Technology at Leibniz University Hannover, is used.
KW - Cyber-physical systems
KW - Facility layout problem
KW - Genetic algorithm
KW - Layout optimization
KW - Logistics
UR - http://www.scopus.com/inward/record.url?scp=85087559283&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-34983-7_4
DO - 10.1007/978-3-030-34983-7_4
M3 - Contribution to book/anthology
AN - SCOPUS:85087559283
SN - 978-3-030-34982-0
T3 - Lecture Notes in Networks and Systems (LNNS)
SP - 27
EP - 39
BT - CPS&C 2019
A2 - Arseniev, Dmitry G.
A2 - Overmeyer, Ludger
A2 - Kälviäinen, Heikki
A2 - Katalinić, Branko
PB - Springer Nature
ER -