Details
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024 |
| Editors | Tullio Facchinetti, Angelo Cenedese, Lucia Lo Bello, Stefano Vitturi, Thilo Sauter, Federico Tramarin |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 8 |
| ISBN (electronic) | 9798350361230 |
| ISBN (print) | 979-8-3503-6124-7 |
| Publication status | Published - 10 Sept 2024 |
| Event | 29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024 - Padova, Italy Duration: 10 Sept 2024 → 13 Sept 2024 |
Publication series
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|---|
| ISSN (Print) | 1946-0740 |
| ISSN (electronic) | 1946-0759 |
Abstract
Manufacturing and logistics companies are forced to rethink their strategies due to increasing product variety, shorter product life cycles, and a shortage of skilled workers. Conventional system structures with central control instances are too inflexible to respond quickly and efficiently to dynamic influences such as short-term adjustments to process sequences or individual process conditions. To counteract these influences, increasingly intelligent and coordinated subsystems with specific areas of competence and functionalities are being integrated into production and logistics processes. Based on the analysis of challenges to intralogistics, this work presents a concept for controlling so-called coordination requirement points. In these locations, the interactions between system objects in internal material transport are coordinated, which is exemplarily implemented in a simulation environment. By varying complexity properties, the achievement of logistical targets at different degrees of autonomous control is analyzed, finding an increased 'on time delivery' rate for increasing autonomy and the incorporation of order-relevant information.
Keywords
- Autonomous Logistics, Degree of Autonomy, FlexSim, Simulation
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
- Computer Science(all)
- Computer Science Applications
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2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024. ed. / Tullio Facchinetti; Angelo Cenedese; Lucia Lo Bello; Stefano Vitturi; Thilo Sauter; Federico Tramarin. Institute of Electrical and Electronics Engineers Inc., 2024. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Decentralized Control
T2 - 29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024
AU - Gehlhoff, Felix
AU - Huth, Bjarne
AU - Wenzel, Alexander
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024/9/10
Y1 - 2024/9/10
N2 - Manufacturing and logistics companies are forced to rethink their strategies due to increasing product variety, shorter product life cycles, and a shortage of skilled workers. Conventional system structures with central control instances are too inflexible to respond quickly and efficiently to dynamic influences such as short-term adjustments to process sequences or individual process conditions. To counteract these influences, increasingly intelligent and coordinated subsystems with specific areas of competence and functionalities are being integrated into production and logistics processes. Based on the analysis of challenges to intralogistics, this work presents a concept for controlling so-called coordination requirement points. In these locations, the interactions between system objects in internal material transport are coordinated, which is exemplarily implemented in a simulation environment. By varying complexity properties, the achievement of logistical targets at different degrees of autonomous control is analyzed, finding an increased 'on time delivery' rate for increasing autonomy and the incorporation of order-relevant information.
AB - Manufacturing and logistics companies are forced to rethink their strategies due to increasing product variety, shorter product life cycles, and a shortage of skilled workers. Conventional system structures with central control instances are too inflexible to respond quickly and efficiently to dynamic influences such as short-term adjustments to process sequences or individual process conditions. To counteract these influences, increasingly intelligent and coordinated subsystems with specific areas of competence and functionalities are being integrated into production and logistics processes. Based on the analysis of challenges to intralogistics, this work presents a concept for controlling so-called coordination requirement points. In these locations, the interactions between system objects in internal material transport are coordinated, which is exemplarily implemented in a simulation environment. By varying complexity properties, the achievement of logistical targets at different degrees of autonomous control is analyzed, finding an increased 'on time delivery' rate for increasing autonomy and the incorporation of order-relevant information.
KW - Autonomous Logistics
KW - Degree of Autonomy
KW - FlexSim
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85207841804&partnerID=8YFLogxK
U2 - 10.1109/ETFA61755.2024.10710678
DO - 10.1109/ETFA61755.2024.10710678
M3 - Conference contribution
AN - SCOPUS:85207841804
SN - 979-8-3503-6124-7
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
BT - 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024
A2 - Facchinetti, Tullio
A2 - Cenedese, Angelo
A2 - Bello, Lucia Lo
A2 - Vitturi, Stefano
A2 - Sauter, Thilo
A2 - Tramarin, Federico
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 September 2024 through 13 September 2024
ER -