Details
| Translated title of the contribution | Zeit-und Ressourcennutzung einer voxelbasierten Simulationsumgebung für indoor Multikopter |
|---|---|
| Original language | English |
| Number of pages | 10 |
| Journal | Logistics Journal |
| Volume | 2024 |
| Issue number | 20 |
| Publication status | Published - 30 Oct 2024 |
| Event | 20. WGTL-Kolloquium 2024 - Dresden, Germany Duration: 26 Sept 2024 → 27 Sept 2024 |
Abstract
Constantly increasing production volumes and new challenges in production environments with the same amount of space are forcing manufacturing companies to deal with the planning of production layouts. The problem often is a non-existent or outdated production layout plan. Autonomous multicopters can help by simplifying layout capture. That's why a voxel-based simulation is investigated to develop and train path planning algorithms with and without artificial intelligence. First, the temporal behavior and the resource utilization of the simulation is investigated. Then, the time factor of simulation is compared to real time and what advantages companies and developers have when using it.
Keywords
- digital twin, layout design, simulation, UAS, voxel-based
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Management Information Systems
- Engineering(all)
- Control and Systems Engineering
- Decision Sciences(all)
- Management Science and Operations Research
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In: Logistics Journal, Vol. 2024, No. 20, 30.10.2024.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Time and resource utilization of a voxel-based simulation for indoor multicopters
AU - Kumpe, Hendrik
AU - Küster, Benjamin
AU - Stonis, Malte
AU - Overmeyer, Ludger
N1 - Publisher Copyright: © 2024 Logistics Journal: Proceedings.
PY - 2024/10/30
Y1 - 2024/10/30
N2 - Constantly increasing production volumes and new challenges in production environments with the same amount of space are forcing manufacturing companies to deal with the planning of production layouts. The problem often is a non-existent or outdated production layout plan. Autonomous multicopters can help by simplifying layout capture. That's why a voxel-based simulation is investigated to develop and train path planning algorithms with and without artificial intelligence. First, the temporal behavior and the resource utilization of the simulation is investigated. Then, the time factor of simulation is compared to real time and what advantages companies and developers have when using it.
AB - Constantly increasing production volumes and new challenges in production environments with the same amount of space are forcing manufacturing companies to deal with the planning of production layouts. The problem often is a non-existent or outdated production layout plan. Autonomous multicopters can help by simplifying layout capture. That's why a voxel-based simulation is investigated to develop and train path planning algorithms with and without artificial intelligence. First, the temporal behavior and the resource utilization of the simulation is investigated. Then, the time factor of simulation is compared to real time and what advantages companies and developers have when using it.
KW - digital twin
KW - layout design
KW - simulation
KW - UAS
KW - voxel-based
UR - http://www.scopus.com/inward/record.url?scp=85214505246&partnerID=8YFLogxK
U2 - 10.2195/lj_proc_kumpe_en_202410_01
DO - 10.2195/lj_proc_kumpe_en_202410_01
M3 - Conference article
AN - SCOPUS:85214505246
VL - 2024
JO - Logistics Journal
JF - Logistics Journal
SN - 1860-7977
IS - 20
T2 - 20. WGTL-Kolloquium 2024
Y2 - 26 September 2024 through 27 September 2024
ER -