Details
| Translated title of the contribution | Factory and production planning in the digital model through automated point cloud processing |
|---|---|
| Original language | German |
| Journal | Logistics Journal |
| Volume | 2019 |
| Publication status | Published - 2019 |
| Externally published | Yes |
Abstract
The structured and future-orientated planning of factory layouts is an important factor in maintaining the competitive ability. However, conventional planning methods with 2D Layouts reach their limits because they can no longer map the increasingly complex factory structures in detail. Alternatives are offered by 360° environmental scanning methods, which currently only serve as a template for post-modeling. This article presents a method for planning directly in the factory image. The aim is to make the factory planning process more effective and less error-prone.
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. 2019, 2019.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Fabrik-und produktionsplanung im digitalen modell durch automatisierte punktwolkenverarbeitung
AU - Melcher, Dominik
AU - Küster, Benjamin
AU - Stonis, Malte
AU - Overmeyer, Ludger
PY - 2019
Y1 - 2019
N2 - The structured and future-orientated planning of factory layouts is an important factor in maintaining the competitive ability. However, conventional planning methods with 2D Layouts reach their limits because they can no longer map the increasingly complex factory structures in detail. Alternatives are offered by 360° environmental scanning methods, which currently only serve as a template for post-modeling. This article presents a method for planning directly in the factory image. The aim is to make the factory planning process more effective and less error-prone.
AB - The structured and future-orientated planning of factory layouts is an important factor in maintaining the competitive ability. However, conventional planning methods with 2D Layouts reach their limits because they can no longer map the increasingly complex factory structures in detail. Alternatives are offered by 360° environmental scanning methods, which currently only serve as a template for post-modeling. This article presents a method for planning directly in the factory image. The aim is to make the factory planning process more effective and less error-prone.
KW - 3D-factory layout
KW - 3D-factory layout scan
KW - Factory planning
KW - Point cloud processing
KW - Point cloud segmentation
KW - Production planning
UR - http://www.scopus.com/inward/record.url?scp=85084703686&partnerID=8YFLogxK
U2 - 10.2195/lj_Proc_melcher_de_201912_01
DO - 10.2195/lj_Proc_melcher_de_201912_01
M3 - Artikel
AN - SCOPUS:85084703686
VL - 2019
JO - Logistics Journal
JF - Logistics Journal
SN - 1860-7977
ER -